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Data ScienceBeginner

Introduction to R Programming for Data Science

When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces...

By Yan Luo on Coursera

About This Course

When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. The emphasis in this course is hands-on and practical learning . You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights. No prior knowledge of R, or programming is required.

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Frequently Asked Questions

How much does Introduction to R Programming for Data Science cost?

Visit the Introduction to R Programming for Data Science course page for current pricing and available discounts.

Who teaches Introduction to R Programming for Data Science?

Introduction to R Programming for Data Science is taught by Yan Luo, IBM.

What skill level is Introduction to R Programming for Data Science for?

This course is designed for beginner learners.

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Students0
Duration4 hours
LevelBeginner
Languageen
PlatformCoursera
InstructorYan Luo