Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

THIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS:

It’s A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python!

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

First of all, this course a complete guide to practical data science using Python…

That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python based data science.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!

THIS IS MY PROMISE TO YOU:

COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!

But, first things first, My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources  using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning…

This gives student an incomplete knowledge of the subject. This course will give you a robust grounding in all aspects of data science, from statistical modeling to visualization to machine learning.

Unlike other Python instructors, I dig deep into the statistical modeling features of Python and gives you a one-of-a-kind grounding in Python Data Science!

You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning based models using Python

DISCOVER 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING):

• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda
• Getting started with Jupyter notebooks for implementing data science techniques in Python
• A comprehensive presentation about basic analytical tools- Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, etc.
• Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data
• How to Pre-Process and “Wrangle” your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
• Creating data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, and more!
• Statistical analysis, statistical inference, and the relationships between variables
• Machine Learning, Supervised Learning, Unsupervised Learning in Python
• You’ll even discover how to create artificial neural networks and deep learning structures…& MUCH MORE!

With this course, you’ll have the keys to the entire Python Data Science kingdom!

NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable Python Data Science basics and techniques…

I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real life.

After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python.

You’ll even understand deep concepts like statistical modeling in Python’s Statsmodels package and the difference between statistics and machine learning (including hands-on techniques).

I will even introduce you to deep learning and neural networks using the powerful H2o framework!

With this Powerful All-In-One Python Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and deep learning!

The underlying motivation for the course is to ensure you can apply Python based data science on real data and put into practice today. Start analyzing  data for your own projects, whatever your skill level and IMPRESS your potential employers with actual examples of your  data science abilities.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

This course will:

  (a) Take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooks.

  (b) Equip students to use Python for performing different statistical data analysis and visualization tasks for data modelling.

  © Introduce some of the most important statistical and machine learning concepts to students in a practical manner such that students can apply these concepts for practical data analysis and interpretation.

  (d) Students will get a strong background in some of the most important data science techniques.

  (e) Students will be able to decide which data science techniques are best suited to answer their research questions and applicable to their data and interpret the results.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different  techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects.

JOIN THE COURSE NOW!

Who this course is for:

• Anyone Who Wishes To Learn Practical Data Science Using Python
• Anyone Interested In Learning How To Implement Machine Learning Algorithms Using Python
• People Looking To Get Started In Deep Learning Using Python
• People Looking To Work With Real Life Data In Python
• Anyone With A Prior Knowledge Of Python Looking To Branch Out Into Data Analysis
• Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using iPython.

Complete Data #Science Training with #Python for #Data Analysis Online #course now 95% discounted check #coupon
https://www.udemy.com/complete-data-science-training-with-python-for-data-analysis/?couponCode=PYTHON_DS10

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R

COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R

            Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing?

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis.

With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need to complete  in order to get a head start in practical statistical modeling for data analysis using R.

My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:

 (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R.

 (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling.

 © It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

 (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis.

 (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects immediately!

TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

Who this course is for:

• People working in any numerate field which requires data analysis
• Students of Environmental Science, Ecology, Biology,Conservation and Other Natural Sciences
• People with some prior knowledge of the R interface- (a) installing packages (b) reading in csv files
• People carrying out observational or experimental studies.

Applied #Statistical Modeling for #Data #Analysis in R
95% off #discount #course now on #udemy
https://www.udemy.com/applied-statistical-modeling-for-data-analysis-in-r/?couponCode=AUGDISC10

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your complete guide to both supervised & unsupervised learning using R…

That means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic…

This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

Unlike other R instructors, I dig deep into the machine learning features of R and gives you a one-of-a-kind grounding in  Data Science!

You will go all the way from carrying out data reading & cleaning  to machine learning to finally implementing powerful machine learning algorithms and evaluating their performance using R.

THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF R MACHINE LEARNING:

• A full introduction to the R Framework for data science

• Data Structures and Reading in R, including CSV, Excel and HTML data

• How to Pre-Process and “Clean” data by removing NAs/No data,visualization

• Machine Learning, Supervised Learning, Unsupervised Learning in R

• Model building and selection…& MUCH MORE!

By the end of the course, you’ll have the keys to the entire R Machine Learning Kingdom!

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life.

After taking this course, you’ll easily use data science packages like caret to work with real data in R…

You’ll even understand concepts like unsupervised learning, dimension reduction and supervised learning. Again, we’ll work with real data and you will have access to all the code and data used in the course.

JOIN MY COURSE NOW!

Who this course is for:

• Students Interested In Getting Started With Data Science Applications In The R & R Studio Environment
• Students Wishing To Learn The Implementation Of Unsupervised Learning On Real Data
• Students Wishing To Learn The Implementation Of Supervised Learning (Classification) On Real Data Using R

92% discount #coupon #udemy #course for
#Clustering & #Classification With #Machine #Learning In R
#couponcode
https://www.udemy.com/clustering-classification-with-machine-learning-in-r/

Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science

THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON!

It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning  using two of the most important Deep Learning frameworks- Tensorflow and Keras.                        

HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:

This course is your complete guide to practical machine & deep learning using the Tensorflow & Keras framework in Python..

This means, this course covers the important aspects of Keras and Tensorflow (Google’s powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow and Keras is revolutionizing Deep Learning…

By gaining proficiency in Keras and and Tensorflow, you can give your company a competitive edge and boost your career to the next level.

THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL KERAS & TENSORFLOW BASED DATA SCIENCE!

But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources  using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning..

This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework.

Unlike other Python courses, we dig deep into the statistical modeling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks!

DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED TENSORFLOW DATA SCIENCE:

• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda
• Getting started with Jupyter notebooks for implementing data science techniques in Python
• A comprehensive presentation about Tensorflow & Keras installation and a brief introduction to the other Python data science packages
• Brief introduction to the working of Pandas and Numpy
• The basics of the Tensorflow syntax and graphing environment
• The basics of the Keras syntax
• Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow & Keras frameworks
• You’ll even discover how to create artificial neural networks and deep learning structures with Tensorflow & Keras

BUT,  WAIT! THIS ISN’T JUST ANY OTHER DATA SCIENCE COURSE:

You’ll start by absorbing the most valuable Python Tensorflow and Keras basics and techniques.

I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real -life.

After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow and Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!

The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today, start analyzing  data for your own projects whatever your skill level, and impress your potential employers with actual examples of your data science abilities.

This course will take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooks

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different  techniques on real data and interpret the results..

After each video you will learn a new concept or technique which you may apply to your own projects!

JOIN THE COURSE NOW!

Who this course is for:

• People Interested In Learning Python Based Tensorflow and Keras For Data Science Applications
• People With Prior Exposure To Python Programming &/Or Data Science Concepts
• People Interested In Implementing Neural Networks & Deep Learning Models With Tensorflow
• People Interested In Implementing Neural Networks & Deep Learning Models With Keras.

92% discount #coupon #udemy #course for
#Tensorflow and Keras For Neural Networks and #Deep #Learning
#couponcode
https://www.udemy.com/tensorflow-and-keras-for-neural-networks-and-deep-learning/

Deep Learning: Master Powerful Deep Learning Tools in R Like Keras, Mxnet, H2O and Others

YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:      

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning.

Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science…

You will go all the way from carrying out data reading & cleaning  to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.

Among other things:

You will be introduced to powerful R-based deep learning packages such as h2o and MXNET.

You will be introduced to deep neural networks (DNN), convolution neural networks (CNN) and unsupervised methods.

You will learn how to implement convolutional neural networks (CNN)s on imagery data using the Keras framework

You will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for classification and regression applications.  

With this course, you’ll have the keys to the entire R Neural Networks and Deep Learning Kingdom!

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.

After taking this course, you’ll easily use data science packages like caret, h2o, mxnet, keras to implement novel deep learning techniques in R. You will get your hands dirty with real life data, including real-life imagery data which you will learn to pre-process and model

You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.

We will also work with real data and you will have access to all the code and data used in the course.

JOIN MY COURSE NOW!

Who this course is for:

• People Wanting To Master The R & R Studio Environment For Data Science
• Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning
• Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R
• Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R

92% discount #coupon #udemy #course for
Complete #Deep #Learning In R With Keras & Others
#couponcode
https://www.udemy.com/complete-deep-learning-in-r-with-keras-others/

Learn Data Preprocessing, Data Wrangling and Data Visualisation For Practical Data Science Applications in R

THIS IS YOUR ROADMAP TO LEARNING & BECOMING HIGHLY PROFICIENT IN DATA PREPROCESSING, DATA WRANGLING, & DATA VISUALIZATION IN R!

Hello, My name is Minerva Singh. I am an Oxford University MPhil graduate in Geography & Environment & I  finished a PhD at Cambridge University in Tropical Ecology & Conservation.

I have +5 of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science - data wrangling and visualisation.

THIS COURSE WILL TEACH YOU ALL YOU NEED AND PUT YOUR KNOWLEDGE TO PRACTICE NOW!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in the renowned international journal like PLOS One.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

It will take you (even if you have no prior statistical modelling/analysis background) from a basic level of performing some of the most common data wrangling tasks in R.

It will equip you to use some of the most important R data wrangling and visualisation packages such as dplyr and ggplot2.

It will Introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results..

The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners

After each video, you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.

ON TOP OF THE COURSE, I’M ALSO OFFERING YOU:

Practice Activities To Reinforce Your Learning

My Continuous Support To Make Sure You Gain Complete Understanding & Proficiency

Access To Future Course Updates Free Of Charge

I’ll Even Go The Extra Mile & Cover Any Topics That Are Related To The Subject That You Need Help With (This is something you can’t get anywhere else).

& Access To A Community Of 25,000 Data Scientists (& growing) All Learning Together & Helping Each Other!

Now, go ahead & enrol in the course. I’m certain you’ll love it, but in case you don’t, you can always request a refund within 30 days. No hard feelings whatsoever. I look forward to seeing you inside!

Who this course is for:

• Students Interested In Getting Started With Data Science Applications In The R & R Studio Environment
• Students Interested in Learning About the Common Pre-processing Data Tasks
• Students Interested in Gaining Exposure to Common R Packages Such As ggplot2
• Those Interested in Learning About Different Kinds of Data Visualisations
• Those Interested in Learning to Create Publication Quality Visualisations

92% discount #coupon #udemy #course for
Complete Data #Wrangling & #Data #Visualisation In R
#couponcode
https://www.udemy.com/complete-data-wrangling-data-visualization-with-r/

Learn 16 Machine Learning Algorithms in a Fun and Easy along with Practical Python Labs using Keras

Welcome to the Fun and Easy Machine learning Course in Python and Keras.
 

Are you Intrigued by the field of Machine Learning? Then this course is for you! We will take you on an adventure into the amazing of field Machine Learning. Each section consists of fun and intriguing white board explanations with regards to important concepts in Machine learning as well as practical python labs which you will enhance your comprehension of this vast yet lucrative sub-field of Data Science.

So Many Machine Learning Courses Out There, Why This One?

This is a valid question and the answer is simple. This is the ONLY course on Udemy which will get you implementing some of the most common machine learning algorithms on real data in Python. Plus, you will gain exposure to neural networks (using the H2o framework) and some of the most common deep learning algorithms with the Keras package.

We designed this course for anyone who wants to learn the state of the art in Machine learning in a simple and fun way without learning complex math or boring explanations.  Each theoretically lecture is uniquely designed using whiteboard animations which can maximize engagement in the lectures and improves knowledge retention. This ensures that you absorb more content than you would traditionally would watching other theoretical videos and or books on this subject.

What you will Learn in this Course

This is how the course is structured:

Regression – Linear Regression, Decision Trees, Random Forest Regression,

Classification – Logistic Regression, K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Naive Bayes,

Clustering - K-Means, Hierarchical Clustering,

Association Rule Learning - Apriori, Eclat,

Dimensionality Reduction - Principle Component Analysis, Linear Discriminant  Analysis,

Neural Networks - Artificial Neural Networks, Convolution Neural Networks, Recurrent Neural Networks.

Practical Lab Structure
You DO NOT need any prior Python or Statistics/Machine Learning Knowledge to get Started. The course will start by introducing students to one of the most fundamental statistical data analysis models and its practical implementation in Python- ordinary least squares (OLS) regression. Subsequently some of the most common machine learning regression and classification techniques such as random forests, decision trees and linear discriminant analysis will be covered. In addition to providing a theoretical foundation for these, hands-on practical labs will demonstrate how to implement these in Python. Students will also be introduced to the practical applications of common data mining techniques in Python and gain proficiency in using a powerful Python based framework for machine learning which is Anaconda (Python Distribution). Finally you will get a solid grounding in both Artificial Neural Networks (ANN) and the Keras package for implementing deep learning algorithms such as the Convolution Neural Network (CNN). Deep Learning is an in-demand topic and a knowledge of this will make you more attractive to employers.

Excited Yet?

So as you can see you are going to be learning to build a lot of impressive Machine Learning apps in this 3 hour course. The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today. Start analyzing  data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual examples of your  machine learning abilities.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different  techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects.

TAKE ACTION TODAY! We will personally support you and ensure your experience with this course is a success. And for any reason you are unhappy with this course, Udemy has a 30 day Money Back Refund Policy, So no questions asked, no quibble and no Risk to you. You got nothing to lose. Click that enroll button and we’ll see you in side the course.

Who this course is for:

• Student who starting out or interested in Machine Learning or Deep Learning.
• Students with Prior Python Programming Exposure Who Want to Use it for Machine Learning
• Students interested in gaining exposure to the Keras library for Deep Learning.
• Data analysts who want to expand into Machine Learning.
• College students who want to start a career in Data Science.

92% discount #coupon #udemy #course for
The Fun and Easy Guide to #Machine #Learning using #Keras
#couponcode
https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python

92% discount #coupon #udemy #course for
#Clustering & #Classification With #Machine Learning In #Python
#couponcode
https://www.udemy.com/clustering-classification-with-machine-learning-in-python/HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your complete guide to both supervised & unsupervised learning using Python. This means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal..

By becoming proficient in unsupervised & supervised learning in Python, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I also just recently finished a PhD at Cambridge University.

I have several years of experience in analyzing real life data from different sources  using data science techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

Unlike other Python instructors, I dig deep into the machine learning features of Python and gives you a one-of-a-kind grounding in Python Data Science!

You will go all the way from carrying out data reading & cleaning  to machine learning to finally implementing simple deep learning based models using Python

THE COURSE COMPOSES OF 7 SECTIONS TO HELP YOU MASTER PYTHON MACHINE LEARNING:

• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda • Getting started with Jupyter notebooks for implementing data science techniques in Python  • Data Structures and Reading in Pandas, including CSV, Excel and HTML data • How to Pre-Process and “Wrangle” your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.

• Machine Learning, Supervised Learning, Unsupervised Learning in Python

• Artificial neural networks (ANN) and Deep Learning. You’ll even discover how to use artificial neural networks and deep learning structures for classification!

With such a rigorous grounding in so many topics, you will be an unbeatable data scientist by the end of the course.

NO PRIOR PYTHON OR STATISTICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable Python Data Science basics and techniques.

I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using real data obtained from different sources.

After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python..

You’ll even understand concepts like unsupervised learning, dimension reduction and supervised learning.. I will even introduce you to deep learning and neural networks using the powerful H2o framework!

Most importantly, you will learn to implement these techniques practically using Python. You will have access to all the data and scripts used in this course. Remember, I am always around to support my students!

JOIN MY COURSE NOW!

Who this course is for:

• Students Interested In Getting Started With Data Science Applications In The Python Environment
• People Wanting To Master The Anaconda iPython Environment For Data Science & Scientific Computations
• Students Wishing To Learn The Implementation Of Unsupervised Learning On Real Data Using Python
• Students Wishing To Learn The Implementation Of Supervised Learning (Classification) On Real Data Using Python
• Students Looking To Get Started With Artificial Neural Networks & Deep Learning

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Core Spatial Data Analysis: Introductory GIS with R and QGIS

MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT!

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?

Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?

I’m very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks.

My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I am currently pursuing a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.

In this course, actual spatial data from the Tam Dao National Park in Vietnam will be used to give a practical hands-on experience of working with real life spatial data and understanding what kind of questions spatial data can help us answer. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today. Start analyzing spatial data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual example of your spatial data analysis abilities.

This is a core course in spatial data analysis, i.e. we will focus on learning the most important and widely encountered spatial data analysis tasks in both R and QGIS

It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts related to spatial data analysis. However, majority of the course will focus on working with the spatial data from the Tam Dao National Park, Vietnam. After each video you will learn a new concept or technique which you may apply to your own projects.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

Who this course is for:

• Academics
• Researchers
• Conservation managers
• Anybody who works/will work with spatial data.

#Core #Spatial #Data #Analysis: Introductory GIS with R and QGIS 93% off #couponcode for #udemy #course
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Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.

—————————————————————————————————————-

DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.

—————————————————————————————————————-

This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.

This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.

The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.  

The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.

This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.

This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.  

It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.

During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources.  Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.

FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!

I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!

Who this course is for:

• People who have a basic understanding of spatial data analysis and want to learn more
• Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
• Academics
• Conservation managers
• GIS Technicians

95% Discount #coupon code for Spatial #Data #Analysis with R, QGIS & More #udemy #course
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Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your complete guide to both supervised & unsupervised learning using R…

That means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic…

This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

Unlike other R instructors, I dig deep into the machine learning features of R and gives you a one-of-a-kind grounding in  Data Science!

You will go all the way from carrying out data reading & cleaning  to machine learning to finally implementing powerful machine learning algorithms and evaluating their performance using R.

THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF R MACHINE LEARNING:

• A full introduction to the R Framework for data science

• Data Structures and Reading in R, including CSV, Excel and HTML data

• How to Pre-Process and “Clean” data by removing NAs/No data,visualization

• Machine Learning, Supervised Learning, Unsupervised Learning in R

• Model building and selection…& MUCH MORE!

By the end of the course, you’ll have the keys to the entire R Machine Learning Kingdom!

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life.

After taking this course, you’ll easily use data science packages like caret to work with real data in R…

You’ll even understand concepts like unsupervised learning, dimension reduction and supervised learning. Again, we’ll work with real data and you will have access to all the code and data used in the course.

JOIN MY COURSE NOW!

Who this course is for:

• Students Interested In Getting Started With Data Science Applications In The R & R Studio Environment
• Students Wishing To Learn The Implementation Of Unsupervised Learning On Real Data
• Students Wishing To Learn The Implementation Of Supervised Learning (Classification) On Real Data Using R

92% discount #coupon #udemy #course for
#Clustering & #Classification With #Machine #Learning In R
#couponcode
https://www.udemy.com/clustering-classification-with-machine-learning-in-r/

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your complete guide to both supervised & unsupervised learning using R…

That means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic…

This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

Unlike other R instructors, I dig deep into the machine learning features of R and gives you a one-of-a-kind grounding in  Data Science!

You will go all the way from carrying out data reading & cleaning  to machine learning to finally implementing powerful machine learning algorithms and evaluating their performance using R.

THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF R MACHINE LEARNING:

• A full introduction to the R Framework for data science

• Data Structures and Reading in R, including CSV, Excel and HTML data

• How to Pre-Process and “Clean” data by removing NAs/No data,visualization

• Machine Learning, Supervised Learning, Unsupervised Learning in R

• Model building and selection…& MUCH MORE!

By the end of the course, you’ll have the keys to the entire R Machine Learning Kingdom!

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life.

After taking this course, you’ll easily use data science packages like caret to work with real data in R…

You’ll even understand concepts like unsupervised learning, dimension reduction and supervised learning. Again, we’ll work with real data and you will have access to all the code and data used in the course.

JOIN MY COURSE NOW!

Who this course is for:

• Students Interested In Getting Started With Data Science Applications In The R & R Studio Environment
• Students Wishing To Learn The Implementation Of Unsupervised Learning On Real Data
• Students Wishing To Learn The Implementation Of Supervised Learning (Classification) On Real Data Using R

92% discount #coupon #udemy #course for
#Clustering & #Classification With #Machine #Learning In R
#couponcode
https://www.udemy.com/clustering-classification-with-machine-learning-in-r/

Spatial Data Analysis With ArcGIS Desktop: Master GIS Techniques and Open Doors to Amazing Geospatial Careers

I WANNA LEARN SPATIAL DATA ANALYSIS, BUT…

I found most spatial data books & manuals vague

There are no courses that actually teach me how it’s actually done

Available resources are expensive & I can’t afford them

I want to get a job in the field of GIS and geospatial analysis

I work in the field of ecology or quantitative social sciences or hydrology or civil engineering or geography

If you found yourself in one of these situations, then..

I’VE GOT GREAT NEWS FOR YOU!

Over the past few months, I have published multiple courses on Udemy around this topic which will be tremendously helpful to you & most important of all AFFORDABLE!

Today, I’ve created yet another powerful resource for you!

In this course, over 50+ hands-on and practical lecture, I will help you master the most common and important geo-processing tasks that can be performed with ArcGIS Desktop, one of THE MOST important GIS software tools available.

I will also show you the kind of questions answered through Spatial Analysis & data used.

THE STEPS I’LL WALK YOU THROUGH:

First of all, we’ll start some basic GIS tasks like “Zooming”.

Then, we’ll move into more complex processing tasks like “Geo-Statistics”.

We’ll also deal with some theoretical concepts related to Spatial Data Analysis, and then we’ll focus on implementing some of the most common GIS techniques (all the way showing you how to execute these tasks in ArcGIS Desktop).

The stuff you’ll learn from this course will be extremely useful in terms of you being able to implement it on future Spatial Data projects you’ll be working on (in a variety of disciplines from ecology to engineering).

LEARN FROM AN ACTUAL EXPERT IN THIS AREA:

My name is MINERVA SINGH.

I am an Oxford University MPhil (Geography and Environment) graduate.

I recently finished my PhD at Cambridge University (Tropical Ecology and Conservation).

I have SEVERAL YEARS OF EXPERIENCE in analyzing REAL LIFE DATA from different sources in ArcGIS Desktop.

I’ve also published my work in many international peer reviewed journals.

HERE IS HOW MY COURSE IS UNIQUE..

My course is a HANDS ON TRAINING with REAL data.

It’s a step by step course covering both the THEORY & APPLICATION of Spatial Data Analysis.

I teach Practical Stuff that you can learn quickly and start implementing NOW.

This is one of the most comprehensive courses on this topic.

I advise you to take advantage of it & enroll in the course TODAY!

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success. I answer all questions put to me and guide my students when they get stuck.

Please make sure you have access to ArcGIS before enrolling

Who this course is for:

• Academics and Researchers
• Conservation managers, field ecologists and social scientists
• People looking to get started in the field of GIS Analysis
• Students of Geography, Environmental Sciences, Geology, Hydrology, Engineering, Earth Sciences and Ecology
• People looking to use ArcGIS Desktop in academic or professional settings

#ArcGIS Desktop For Spatial Analysis: Go From Basic To Pro #udemy #course 95% off !!! #couponcode
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Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

THIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS:

It’s A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python!

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

First of all, this course a complete guide to practical data science using Python…

That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python based data science.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!

THIS IS MY PROMISE TO YOU:

COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!

But, first things first, My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources  using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning…

This gives student an incomplete knowledge of the subject. This course will give you a robust grounding in all aspects of data science, from statistical modeling to visualization to machine learning.

Unlike other Python instructors, I dig deep into the statistical modeling features of Python and gives you a one-of-a-kind grounding in Python Data Science!

You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning based models using Python

DISCOVER 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING):

• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda
• Getting started with Jupyter notebooks for implementing data science techniques in Python
• A comprehensive presentation about basic analytical tools- Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, etc.
• Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data
• How to Pre-Process and “Wrangle” your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
• Creating data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, and more!
• Statistical analysis, statistical inference, and the relationships between variables
• Machine Learning, Supervised Learning, Unsupervised Learning in Python
• You’ll even discover how to create artificial neural networks and deep learning structures…& MUCH MORE!

With this course, you’ll have the keys to the entire Python Data Science kingdom!

NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable Python Data Science basics and techniques…

I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real life.

After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python.

You’ll even understand deep concepts like statistical modeling in Python’s Statsmodels package and the difference between statistics and machine learning (including hands-on techniques).

I will even introduce you to deep learning and neural networks using the powerful H2o framework!

With this Powerful All-In-One Python Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and deep learning!

The underlying motivation for the course is to ensure you can apply Python based data science on real data and put into practice today. Start analyzing  data for your own projects, whatever your skill level and IMPRESS your potential employers with actual examples of your  data science abilities.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

This course will:

  (a) Take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooks.

  (b) Equip students to use Python for performing different statistical data analysis and visualization tasks for data modelling.

  © Introduce some of the most important statistical and machine learning concepts to students in a practical manner such that students can apply these concepts for practical data analysis and interpretation.

  (d) Students will get a strong background in some of the most important data science techniques.

  (e) Students will be able to decide which data science techniques are best suited to answer their research questions and applicable to their data and interpret the results.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different  techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects.

JOIN THE COURSE NOW!

Who this course is for:

• Anyone Who Wishes To Learn Practical Data Science Using Python
• Anyone Interested In Learning How To Implement Machine Learning Algorithms Using Python
• People Looking To Get Started In Deep Learning Using Python
• People Looking To Work With Real Life Data In Python
• Anyone With A Prior Knowledge Of Python Looking To Branch Out Into Data Analysis
• Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using iPython.

Complete Data #Science Training with #Python for #Data Analysis Online #course now 95% discounted check #coupon
https://www.udemy.com/complete-data-science-training-with-python-for-data-analysis/?couponCode=PYTHON_DS10

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R

COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R

            Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing?

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis.

With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need to complete  in order to get a head start in practical statistical modeling for data analysis using R.

My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:

 (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R.

 (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling.

 © It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

 (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis.

 (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects immediately!

TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

Who this course is for:

• People working in any numerate field which requires data analysis
• Students of Environmental Science, Ecology, Biology,Conservation and Other Natural Sciences
• People with some prior knowledge of the R interface- (a) installing packages (b) reading in csv files
• People carrying out observational or experimental studies

95% off !! Applied Statistical Modeling for Data Analysis in R #udemy course online #couponcode
https://www.udemy.com/applied-statistical-modeling-for-data-analysis-in-r/?couponCode=AUGDISC10

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples

MASTER DATA SCIENCE, TEXT MINING AND NATURAL LANGUAGE PROCESSING IN R:

Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge.    

                              LEARN FROM AN EXPERT DATA SCIENTIST  WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.
This gives students an incomplete knowledge of the subject. Unlike other courses out there, we are not going to stop at machine learning. We will also cover data mining, web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data.

                                 NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.
My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, you’ll easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common NLP packages to extract insights from text data.  
I will even introduce you to some very important practical case studies - such as detecting loan repayment and tumor detection using machine learning. You will also extract tweets pertaining to trending topics and analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful All-In-One R Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and neural networks!  

The underlying motivation for the course is to ensure you can apply R based data science on real data into practice today. Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects.

HERE IS WHAT YOU WILL GET:

(a) This course will take you from a basic level to performing some of the most common advanced data science techniques using the powerful R based tools.  

(b) Equip you to use R to perform the different exploratory and visualization tasks for data modelling.  

© Introduce you to some of the most important machine learning concepts in a practical manner such that you can apply these concepts for practical data analysis and interpretation.   (d) You will get a strong understanding of some of the most important data mining, text mining and natural language processing techniques.  

(e) & You will be able to decide which data science techniques are best suited to answer your research questions and applicable to your data and interpret the results.

More Specifically, here’s what’s covered in the course:

Getting started with R, R Studio and Rattle for implementing different data science techniques

Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data.

How to Pre-Process and “Wrangle” your R data by removing NAs/No data, handling conditional data, grouping by attributes..etc

Creating data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, and MORE

Statistical analysis, statistical inference, and the relationships between variables.

Machine Learning, Supervised Learning, & Unsupervised Learning in R

Neural Networks for Classification and Regression

Web-Scraping using R

Extracting text data from Twitter and Facebook using APIs

Text mining

Common Natural Language Processing techniques such as sentiment analysis and topic modelling

We will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects.

All the data and code used in the course has been made available free of charge and you can use it as you like. You will also have access to additional lectures that are added in the future for FREE.

JOIN THE COURSE NOW!

Who this course is for:

• Students wishing to learn practical data science and machine learning in R
• Students wishing to learn the underlying theory and application of data mining in R
• Students interested in obtaining/mining data from sources such as Twiter
• Students interested in pre-processing and visualizing real life data
• Students wishing to analyze and derive insights from text data
• Students interested in learning basic text mining and Natural Language Processing (NLP) in R

94% off !!! #udemy #course for
#Data #Science :Data Mining & Natural Language Processing in R
Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples
#coupon #deal
https://www.udemy.com/data-science-datamining-natural-language-processing-in-r/?couponCode=DATAMINE1

Complete eCommerce Training: Master Shopify, AliExpress Dropshipping, Facebook Advertising & Clickfunnels eCommerce

★This is the complete Shopify Dropshipping Masterclass - Learn everything you need to know from building your Shopify Store; choosing winning products on AliExpress; building product funnels with Clickfunnels from start to finish; automating orders with Zapier, and exactly how to run targeted ad campaigns to your funnels using Facebook and Instagram. This course is perfect for all skill levels, including absolute beginners. You will gain all skills necessary to build a profitable eCommerce business.

Do you know what it takes to build a profitable drop-shipping business in 2019?

ECommerce has been growing 23% year over year and it’s not about to stop any time soon. While retail stores are going out of business, more and more people are shopping online. People are making TONS of money online every single day with eComm, and there’s no better time to start building a eCommerce business than in 2019.

But the rules for eCommerce and drop-shipping have changed in the past few years.  Advertising costs are rising and it’s just not enough to add an AliExpress product to a Shopify store, start some ads and think you are going to break even, much less rake in those massive profits that were possible a few years ago with this strategy.

In 2019, you need to know the smartest strategies for selecting winning products on AliExpress….

….You need to know Facebook advertising in and out to be able to SCALE your ads and rake in those massive profits….

….And finally, you need to know Clickfunnels - the biggest kept secret in eCommerce - this one strategy alone will make you 5x as much money per campaign because you can UPSELL and massively increase your average order value!

I see eCommerce advertisements all the time that are just running some ad straight to a product page in Shopify…where potential customers promptly get distracted or bored and simply click off of the page….

…Worse yet, a staggering 70% of the customers that actually add a product to their cart will abandon their purchase, never to visit the store again…

Too bad these stores weren’t using a sales funnel!

With Clickfunnels, eCommerce ads get over 5x more conversions because they focus on a specific call to action and take advantage of psychological sales principles that practically force people to buy…

…The average order values typically double or triple with upsells, downsells, and order bumps….

…AND customer emails are collected so you can sell your customers later, without spending a DIME on advertising.

And I am going to be teaching you exactly how to do that in this course…

….As well as automating these processes so you can spend less time on your business and make more money.

I created this course to help beginner entrepreneurs who are aware of the potential of eCommerce to provide a lifestyle of financial freedom - but who need a little guidance to build their business successfully to start seeing results FAST.

In this course, you will  learn all my secrets to success so you can crush eCommerce in 2019 and take advantage of this huge opportunity.

You’ll also receive the following free for joining:

3 x Done-For-You High Converting E-Commerce Sales Funnels

PLUS the E-Commerce Bonus funnel that we will build in the course!

The Ad Cost Calculator tool

How to Get a Free Clickfunnels #FunnelHacker T-Shirt

Software discounts

This is THE MOST complete and comprehensive course that will take you from absolute beginner to profitable business with eCommerce drop-shipping!

So what are you waiting for?

Join the course to learn Shopify Drop-shipping in 2019 and start making money with eCommerce now!

….Also Note that Udemy Offers a 30 Day Money Back Guarantee. So what do you have to lose? Invest in your future today and live the life of financial freedom tomorrow.

I’ll see you inside the course!

To your success!

Cheryl A. Spencer

Who this course is for:

• People looking to make money or start a business online
• Anyone who wants to learn how to build a business from scratch and control their own income
• People who have tried Shopify in the past and are looking for effective, current strategies to increase profitability
• People who are interested in Clickfunnels
• People who are looking for a proven system to succeed at dropshipping
• People who want to learn Shopify

100% #FREE #udemy #course FOR
#eCommerce: Shopify #Dropshipping, #Clickfunnels, Facebook Ads
Complete eCommerce Training: Master #Shopify AliExpress Dropshipping, #Facebook Advertising & Clickfunnels eCommerce
FREE #coupon
https://www.udemy.com/clickfunnels-ecommerce/?couponCode=ECOMMERCE

Metaphysical Awakening Symptoms - Spiritual Growth Explained Learn how to understand the coming life changes as you grow spiritually

Are things changing in your life? Especially in ways that make no ‘sense’? Are issues you thought you resolved a long time ago reappearing? Are your five senses becoming more and more acute? Do you have difficulty focusing? Are your dreams more vivid?

We live in a time of extreme change. And nowhere do we feel it more than in our own lives. Many people on the planet are realizing that they are not just a physical body. their spiritual side is waking up.

And if that describes you, then this course will help you understand the changes you are experiencing.

When we were children, we were told some of the changes to expect. Young boys knew that as they grew older hair would start to grow on their cheeks. Young girl knew that as they became women, their chests would develop.

But no one talks about what happens when you 'grow up’ spiritually.

In this course, David Pilz take you through your spiritual puberty.

Discover the changes that you are going through are a normal part of your personal journey and how to deal with the energy as it flows through your body.

Who this course is for:

• This course is for people who feel the physical world is only part of the story
• No prior spiritual teaching is required

90% #discount #course #coupon
#Metaphysical Awakening #Symptoms - #Spiritual Growth Explained
https://www.udemy.com/metaphysical-awakening-symptoms/

Discover the only way to avoid debilitating disease and pain now and later in life. Stop the Four Horsemen of Dis-Ease

It starts with well meaning doctors injecting you with toxic vaccinations, and good relatives using sweets-as-rewards. Followed by the food processors adding neurotoxins to your drink or food, and farmers growing hollow foods on depleted soils. Then grocers soaking their carrots in chlorinated water to keep them clean, and teachers sterilizing every surface with antibacterials, or soap makers adding “fragrance” to your detergent, and everybody else asking you to sit, take a ride, and avoid hard work.

Toxicity, Malnutrition, Environment and Stagnation

At some point the immune system cracks. It begins to mistake some parts of your body as a foreign invader. Depending on a combination of factors - which nutrient is missing, which toxin has not been eliminated, which virus you contracted, and what type of stress you have endured - you develop one or more autoimmune disorder(s).

The mainstream medical mindset focuses on symptoms and their suppression. It is possible to suppress a symptom using poisons, but unless the cause is dealt with, it will return with a greater strength, or at a broader and deeper level, which will be even more difficult to deal with. It is known as “aging”, and “you’ll have to get used to that.” We don’t quite agree with this.

Toxins - heavy metals, herbicides, pesticides, organo-chlorines, volatile organic compounds - they are all around you, in your air, water, food, clothes, beds, homes, cars, schools, offices.

Malnutrition - Is it possible to be fat and malnourished at the same time? Phytonutrients, Minerals, Enzymes, Vitamins, Microbes - the makings of healthy life are nearly absent from industrial processed food. When your food is a hollow, low nutrient density, calorie rich, taste enhanced pretender - you can never eat enough. Even after a meal your body says: “Feed Me!”. There is no wonder you are putting on weight.

Stagnation - All life is based on pulsating energy: inhale/exhale, shorten/lengthen, close/open, squeeze/relax. When these movements seize, you soon are dead. Your body is designed to function under load - it is in dynamic (not static) balance that we find life’s expression. Sedentary life is the antithesis to healthy function. A stagnant body if water is a swamp - rotting, decomposing, putrid smelling. If your feet stink, or your breath is bad, it is because of stagnation - you need movement.

EMF stands for Electro-Magnetic Frequency. You cannot see it, but these days it is hard to find a place that is not being bombarded by signals of varying wave lengths. The shorter the wave, the higher the frequency, and the closer to affecting your health. It is used to deliver both energy and information, making our lives much more convenient, but at the same time it is threatening our health.

IN this course, you will learn more of how you got where you are and what you can do to get to where you want to be.

We have designed this course to provide you with the right knowledge, techniques and advice to be able to get back to your natural state of Peace, Love and Joy.

Our Motto: Restoring Vitality to You and The Planet!

Who this course is for:

• Anyone suffering from chronic pain
• This program is for people who want to improve their life
• For students wiling and ready to make some positive changes to their level of health
• This course IS NOT for students who are looking for an in depth study of physiology and nutrition

90% off !!! #course For #Inflammation - The Hidden Source of #Disease and #Chronic #Pain
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https://www.udemy.com/pain-relief/

Help! I Can't Find a Man... Are You Tired of Being Single? Are You Ready for the Right Man in Your Life? For Women Only

Love, Relationships & Commitment is an invitation to a new experience of yourself and your partner. The content of this course has a focus on relationship dynamics and is intended for women who ache for authentic relationships with their partner.

Most of what appear to be issues in relationship are really self issues acted out in the relationship dynamic. We complain about him, this or that, and convince ourselves that if he would just change, we would finally be content. But our internal landscape determines our experience of the external one, and must be addressed at all levels rather than restricted to intellect and insight. Love, Relationships & Commitment is intended for women, and is a creative, empowering, process-oriented personal development course, focusing in depth on the relinquishment of a thought system based on fear for a thought system based on love. You will come to connect with your partner on a truly intimate level, with more depth and appreciation for how they have been shaped by life.

What will I discover?

Empowerment, accountability, freedom and purpose. You will leave the course with a new experience, a new understanding, and conflict resolution tools to continue your growth in loving relationship. We pride ourselves on providing ongoing support beyond the course with a Facebook support group, adding new lectures and answering questions in the discussion group.

Being consumed by judging the quality of our existence by ‘him’, or 'this or that’ keeps you in a state of perpetual victim consciousness. Realizing that you are not a victim or powerless has the potential of revolutionizing not only your relationship with yourself, but launching a new way of relating to your partner, the world and everyone in it.

Once you have taken back responsibility for your own life, you can then begin to discover a whole new level of loving.

Who this course is for:

• Women 35+
• Single
• Struggling in Relationship
• No Men

81% off ! #discount #offer for
#Love, #Relationships & #Commitment - Finding the Right Man #udemy #course
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https://www.udemy.com/love-relationships-commitment-finding-the-right-man/

Make Your Podcast Today. Learn Podcasting Tips for Launching a Successful Online Show

Learn to Podcast with a Podcasting Pioneer and Host/Executive Producer of over 40 different Podcasts! Everything you need to get started and a lot more…

 ****Course Up To Date As Of April 4th, 2019. New Lectures Added, #11 & #12 Anchor FM for free podcasting on mobile, #35 The Blue Yeti Microphone, #42 Add Your Podcast to Google Play and Android Phones, and Lecture #71: Bonus Lecture: Done For You Podcasting and Write a Bestseller at the Same Time)****

NEW SECTION: How to Start a Podcast with LibSyn!

Liberated Syndication (libsyn) pioneered the system to host and publish podcasts in 2004. And since then has grown to the largest leading  network with over 2.6 billion downloads in 2014. Libsyn hosts over 25,000 shows with 44 million monthly audience members.

JOIN OVER 17,000+ SUCCESSFUL STUDENTS WHO HAVE TAKEN THIS COURSE AND ARE LEARNING DIRECTLY FROM THE ONE AND ONLY DEAN OF BLOGONOMICS AND PODOLOGY, SCOTT PATON!

Discover how to make a Podcast - Fast, Easy and FUN! Join over 17,000 students using Power Podcastingto position themselves as THE Expert, build relationships, grow their influence, increase sales, and change the world.

What is a Podcast? It is audio or video shows, that when you subscribe to them, are automatically updated on your Computer, Smartphones, iPads, Tablets, and/or iPods. Think of them as free radio or TV shows which you deliver Spam-Free! directly to your audience every time you produce one.

Podcasting is bigger than you think. When we survey people who listen to free, commercial-free audio Podcasts at least once a month: we discover an interesting fact: Online Radio beats AM/FM Radio, streaming audio, CD’s, TV Music channels, & Sirius!

“Power Podcasting Rocks!”

“Scott is friendly and easy to follow. He clearly knows his stuff. All the tools are here, and laid out in easy way. I think it is a great course! I was shocked at how popular this is. Great marketing tool that I overlooked. Great education.” ~ Dan Kobelt

If you look at the number of people listening to these free shows monthly, they are as popular as Twitter with 39 mIllion listeners, even if it doesn’t get the same ‘Love’.

But instead of communicating in impersonal 150 character Tweets, with Power Podcasting, you get right into the head of your target market for as long as they let  you.

They are portable — and because of this, they are more personal.  

Imagine whispering into the ears of your ideal customers every week… building strong relationships, trust and connections. But instead of One-to-One, Power Podcasting is One-to-Many! Our students know that Podcasting is relationship building in the sales process, and not the time to go for the hard close.

These listeners are higher income earners. They listen daily to an hour and forty minutes more audio than the average American consumer. They are dedicated to continual learning, so just imagine what happens when your show is available on new cars all over the world…

Power Podcasting “allows you to convey your personality in a much stronger way than is possible through the written word. That clarity in your message is seen and felt through your actions (on video) and the tone of your voice…” according to Chris Ducker, Author of #1 Bestseller 'Virtual Freedom’.

When you claim your seat in this course, you’ll have permanent online access to watch the course 24/7, and there’s a Q&A discussion section in each lecture, where you can post questions - and I’ll answer them personally!

By following the short, simple, easy-to-follow lectures, you will be able to work through the process of setting up your show and publishing your first episode quickly.

The course was designed to accomplish one goal: Start a  Podcast as fast as possible. I recommend watching the first 6 sections in their entirety. There are PDF workbooks included for you to use to clarify your topic, title, descriptions, intro and extros.

For 'Type A’ personalities, there is a “Fast Track” Lecture (Section One, Lecture #6), in which if you already have a finished MP3 or MP4 file, reveals which lectures to watch so that after following only 33 minutes of video, you will have your show live and into iTunes. In other words, you can be up and running in under an hour.

The technical processes of  are only one aspect of successful Podcasting. Walk through real life examples of producing a live show, discover how to use your voice effectively to move your audience, uncover how to repurpose content for your podcast that you may already be doing, and how to do it FAST!  

Power Podcasting “will grow your email list, your audience, your influence and your bank account.” Amy Porterfield of “Tweet This” and former Social Media Maven for social media for the likes of Harley Davidson & Tony Robbins.

Podcasts are growing rapidly, and thanks to CarPlay, Google Play and Apps, continue strong growth for years to come. It is just past the 'Early Adopter’ stage and has huge potential moving forward. Don’t miss out on the low-competition, high-demand opportunities that your fellow Power Podcasters are enjoying.

“Great content that kept my attention”

“Scott is obviously very knowledgeable, experienced and shares great content. I am a beginner and he has inspired me to believe that even I can do this. Also, I find some of the other courses very boring and they lose me. This one doesn’t. Scott makes it entertaining, easy and fun to learn.” ~ Marion Baker

Who this course is for:

• No previous experience with Podcasting is required
• If you have ever wondered how to create a Podcast, this course will show you fun, easy ways to Podcast
• Future Podcast Hosts and Executive Producers
• If you have a message you want to share with the world, this course is for you
• Ideal for speakers, coaches, authors, NGO’s/Non-Profits, Small Businesses, SOHO, Solopreneurs and local businesses
• Especially good for Udemy instructors who want more students
• If you want to create a new source of leads for your business
• We start with the basics: How to set up your podcast, how to record your MP3, publish your first Podcast episode, etc. Then move into more advanced topics, such as: Growing your audience with YouTube, etc. How to be more effective with your voice.

93% off ! #deal #udemy course FOR
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How to Start a #Podcast - Podcasting Made Easy
#coupon
https://www.udemy.com/powerpodcasters/

Follow a proven action plan for day trading stock options with Chart Pattern Trading.

Day Trading is talked about and seems mysterious. Some people are quietly very successful while the masses are warned about the dangers. This course takes away the complexity and shows the non-technical (and some technical) parts of trading Stock Options, such as Chart Pattern Trading.

The course includes examples of good and bad indicators. This course has the rules for trading successfully and why they work.

We start out with basics that you need and go directly to the proven trading system rules. We cover the important elements: What, Why, When and Where.

If you’re looking for a fast path to successful trading, and want to enjoy a 4-hour work week, this course can get you very close to that goal. We have a follow-up course, “Stock Options Trading - Make Money & Income From Day Trading” that covers any remaining questions people have, how the software you see in this course works and some trading strategies. Our advanced course: “Day Trading Stock Options 3 - The Cornerstone Method” is now available.

Start your journey to financial success today!

Who this course is for:

• This Day Trading introduction is meant for adults wanting to make a better income. No prior knowledge is needed.
• This course is ideal for “Math Whizzes”, highly analytical people who find working at menial jobs for low wages disheartening.
• If you find detailed charts and swirling patterns of numbers mind-numbing but can tell the difference between red and green, can follow simple rules and recognize repeating patterns, then this course will be of great interest to you if you want to remove the 40 hour work week from your life and replace it with a work week that can be, after only a few months of practice, less than 4 hours.
• There are lectures within the course which even experienced traders will find helpful for them to improve their trading. It is however firmly designed for students with no, zero or extremey little experience with financial makets.
• This course is designed for people planning to retire but without the capital to continue their lifestyle.
• If you are tired, regardless of your age, with the ‘Rat Race’ and think there must be a better way and are willing to practice new skills to become proficient at them, this course wil show you the beginnings of our “10% in 10 minutes” philosophy.
• If you are nearing retirement age, don’t want to apply at Walmart for extra income once you do retire or your present income isn’t paying all your bills, then this course will show you how it is possible to earn more without spending 40 hours a week doing it.
• Traders who have or can apply and be approved for an Interactive Brokers Options account
• Traders who can afford $2000 annually for the trading platform

95% off #discount #offer for #udemy #course
#Chart #Pattern Trading via Day #Trade #Stock Options Intro
COUPON
https://www.udemy.com/how-to-trade-stock-options-level-1-start-day-trading/

EFT is a gentle, highly-effective process to relieve Pull and Pick urges. Joan Kaylor has helped 1000's of sufferers.

****Course updated January, 2016!****Joan Kaylor stopped pulling out her hair in 1989. She has been helping children, teens and adults stop pulling hair and picking skin since 1994 when she became a professional counselor. Trichotillomania and Dermatillomania are body focused repetitive behaviors. They regulate emotions and help to soothe when we are upset, overwhelmed, bored or stressed. Joan considers pulling and picking to be addictions.The treatment is completely different from obsessive compulsive disorders. Healing from an addiction is work. It can be done. In this course, Joan will teach you strategies to let go of the urges and counseling for the shame and depression and family stress that come with Trich and picking.Joan Kaylor has treated 1000’s of individuals and families with Trichotillomania and Dermatillomania.There is lots of hope and through EFT (Emotional Freedom Techniques), Joan will take you through a gentle process to relieve your urges to pull your hair or pick at your skin.Trichotillomania and DermatillomaniaTrichotillomania (trick-o-til-o-MAY-nee-ah) is a disorder that causes people to pull out the hair from their scalp, eyelashes, eyebrows, pubic area, underarms, beard, chest, legs or other parts of the body, resulting in noticeable bald patches. Hair pulling varies greatly in its severity, location on the body, and response to treatment. For some people, at some times, Trichotillomania is mild and can be quelled with a bit of extra awareness and concentration. For others, at times the urge may be so strong that it makes thinking of anything else nearly impossible.Skin Picking Disorder (also known as Excoriation Disorder or SPD) is a serious and poorly understood problem. People who suffer from SPD repetitively touch, rub, scratch, pick at, or dig into their skin, often in an attempt to remove small irregularities or perceived imperfections. This behavior may result in skin discoloration or scarring. In more serious cases, severe tissue damage and visible disfigurement can result.Trichotillomania may affect as much as 12% of the population. Women are four times more likely to be affected than men.Symptoms usually begin before age 17. The hair may come out in round patches or across the scalp. The effect is an uneven appearance. The person may pluck other hairy areas, such as the eyebrows, eyelashes, or body hair.These symptoms are usually seen in children:An uneven appearance to the hairBare patches or all around (diffuse) loss of hairBowel blockage (obstruction) if people eat the hair they pull outConstant tugging, pulling, or twisting of hairDenying the hair pullingHair regrowth that feels like stubble in the bare spotsIncreasing sense of tension before the hair pullingOther self-injury behaviorsSense of relief, pleasure, or gratification after the hair pullingMost people with this disorder also have problems with:Feeling sad or depressedAnxietyPoor self imageFor some, Trichotillomania is a lifelong disorder. However, treatment often reduces the hair pulling and the feelings of depression, anxiety, or poor self image.Who this course is for:Anyone wanting to alleviate the distress caused by negative thoughts and emotionsThis EFT course is meant for students who may not be familiar with EFT as a way to deal with trichotillomania and dermatillomania.Students who want to relieve body focused repetitive behaviorsStudents of any age who suffer from excess picking and pulling.

EFT #Emotional #Freedom Technique: Hair Pulling & Skin Picking #course now 94% discounted #dealurl
https://www.udemy.com/eft-emotional-freedom-techniques-for-hair-pulling-skin-picking/