Basics of R for Data Science

Learn R from scratch for Data Science with hands-on examples and real datasets

Learn R Programming for Data Science, Data Analysis, Statistics & Visualization.
R Programming is one of the most popular tools used in Data Science, Data Analysis, and Statistics.This course provides a beginner-friendly and practical introduction to R for Data Science, designed for students, professionals, and data science enthusiasts.

If you want to start a career in Data Science using R, or strengthen your foundation in R programming and statistical analysis, this course is for you.

You will learn R from scratch, focusing on the concepts that are most commonly used in real-world data science and analytics projects. The course uses simple explanations, hands-on examples, and practical demonstrations to make learning easy and effective.

What this course covers:

• Introduction to R Programming and R environment

• Data types and data structures in R

• Data manipulation and data management in R

• Flow control (if-else, loops, functions)

• Data visualization and basic graphs using R

• Basic statistics for Data Science

• Linear Regression using R

You only need basic programming knowledge no advanced coding experience is required.

By the end of this course, you will have a strong foundation in R for Data Science, enabling you to confidently move on to advanced topics such as machine learning, predictive analytics, and advanced data visualization.