Schedule
Asynchronous
Delivery method
Online
Introduction to R Programming for Data Science
10 Hours
Estimated learning time
Self-Paced
Progress at your own speed
Popular course
A popular course among students
About the Course
Description
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.
This Course is part of a program
You can only buy it along with program.
Sections
Deliverables
0 Credits
Academic Excellence
Earn necessary number of credit hours for completing this content
Hone Important Skills
Total Upgrade
Such as R Programming, Data Analysis Software, Data Analysis, Computer Programming, Programming Principles, Statistical Programming, Data Structures, Computer Programming Tools, Statistical Tests, Data Visualization Software, Analysis, Data Science
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