Data Science


R Programming for Data Science and Machine Learning

Learn R programming to implement Machine Learning & DS algorithms

4.41 (29 reviews)



12.5 hours


Jan 2021

Last Update
Regular Price

What you will learn

Learn to program in R at a good level and how to use R Studio

Learn the core principles of R programming

Learn how to create vectors in R

Learn how to create variables

Learn Data types in R

Decision Making in R

Learn how to build and use matrices in R

Learn how to use Functions in R

Learn to use Factors in R

Learn to use Data Frames in R

Learn how to install packages in R

Learn how to use charts and Graphs in R

Learn to read data from CSV files, Excel files

Learn Data Analysis in R

Learn how to use charts & graphs in R for data visualization




R is one of the most popular and widely used tools for statistical programming.
It is a powerful, versatile, and easy to use tool for data analytics, and data visualization.
It is the first choice for thousands of data analysts working in both companies and academia.

This course will help you master R programming, as a first step to become a skilled R data scientist.

Got the R knowledge and not sure what to do with it?

This is your chance to finally get your hands dirty with the R and data science.
Each lecture will you give you the tools to achieve the following two goals:

Analyze your data using R.
Find the right visualization for your data using various R tools and packages taught in the course.
Draw some useful visualization and find some useful predictions based on the outcome.
It will take just a few lines of code to get you started.

For an added challenge, repeat the same analysis for your own data.
Share your progress for a chance to receive feedback and suggestions.
That way, this feedback can come not just from me but also from other students in the course.


R Programming for Data Science and Machine Learning
R Programming for Data Science and Machine Learning
R Programming for Data Science and Machine Learning
R Programming for Data Science and Machine Learning




Why Learn R?

R Installation

Installing and Exploring RStudio

First R Program and Operators in R

Data Types in R

Creating Vectors in R

Sequence in R

Replicate Function

Accessing Vector Elements

Vector Manipulation in R

Vector Elements Recycling

Sorting Vector Elements

Decision Making in R

Loop Control using repeat and while loop

for loop and next statement

Functions in R

Matrices in R

Factors in R

Data Frames in R

Combining Data Frames

Analyzing Data in R from CSV file

Creating Pie chart in R

Analyzing Employee Data

Conclusion and Project Work


Rhitendra15 November 2020

R basic concepts and programming has been explained well through detailed examples. The code walk-through for the concepts taught are just great. Data Science section is just icing on the top. Great Content. Thanks to instructor Sunil for putting effort to make this course. Hoping for the more content and courses.

Rohit5 November 2020

This course is little different as it is not only covering R programming but also explained well about Data Science use cases. I am happy to find such a nice course here. I am looking for forward for more. Thanks.


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