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How (and Where) to Learn R for Data Science

This post is part of an article that was originally published here.

Learn R For Data Science  

In this post, you will get an overview for the best courses to learn R for Data science which are available today.

Well Here's a Curriculum Guideline 🍠

Well Here's a Curriculum Guideline

Here's detailed list of 5 Critical Skills in Python/R for Data Science

And if you want to learn Python for Data Science, check this guide


1. Data Science Specialization 👍

Data Science Specialization is a nine-course introduction to data science, created by John Hopkins University and taught by leading professors. You will learn how to get your data into R, clean and transform data into the most useful structure. You also will gain functional knowledge of statistical concepts, reproducible research for scientific claims, and Machine Learning.

Data Science Specialization With R

What You Will Learn? | Go To Course


2. Data Science with R ❤️

This course is created by Matthew Ranze who is a Data Science Consultant, Author and has 17 years of professional experience working with tech startups to Fortune 500 companies. The topics covered in this course will help you to understand the practice of data science, R programming language, and how to create Data Visualization and Statistical models.

Data Science With R

What You Will Learn? | Go To Course


3. Statistics with R Specialization 😎

Statistics with R Specialization is offered by Duke University on Coursera and will help you to master statistics with R. You will learn key statistical concepts and techniques for performing exploratory data analysis in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of correlation, regression and statistical inference.

Statistics With R Specialization

What You Will Learn? | Go To Course.


Happy Learning

You may also be interested in finding Best (and Free !!!) Machine Learning Resources or reading So You want to Learn Data Science With Python Track.

Cheers !!!

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