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.
About this Course
What you will learn
Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.
Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.
Construct and manipulate R data structures, including vectors, factors, lists, and data frames.
Read, write, and save data files and scrape web pages using R.
Skills you will gain
- Data Science
- R Programming
Syllabus - What you will learn from this course
Common Data Structures
R Programming Fundamentals
Working with Data
- 5 stars70.07%
- 4 stars21.16%
- 3 stars2.91%
- 2 stars0.72%
- 1 star5.10%
TOP REVIEWS FROM INTRODUCTION TO R PROGRAMMING FOR DATA SCIENCE
Challenging but quite comprehensive. Its the best course on R.
It was really fast paced . The video content was understandable and nice but more practice oriented interface along with the video lectures would do the task much better.
Iam new beginner to the R-programming. It was taught very well to make me understand R basic skills. Thank you Coursea.
Excellent introductory course with very useful hands-on lab sessions.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Certificate?
More questions? Visit the Learner Help Center.