DLSEI 3.0 Cohort 3 registration has been closed.

Introduction to R Programming for Data Science

IBM

Included with DLSEI 3.0

IBM Data Analytics with Excel and R

Learn, practice, and apply job-ready skills with expert guidance

5

Rating out of 5

Beginner Level

Recommended experience

7 Hours

Learn at your own pace

data-science

Domain

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.

What skills will you gain?

Computer Programming

Data Analysis

Analysis

R Programming

Web

Rstudio