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 stars69.89%
- 4 stars21.14%
- 3 stars2.86%
- 2 stars1.07%
- 1 star5.01%
TOP REVIEWS FROM INTRODUCTION TO R PROGRAMMING FOR DATA SCIENCE
Challenging but quite comprehensive. Its the best course on R.
Very well organized in both lesson videos and exercised labs and final project.
Easy to follow with a lot hands on exposure to practice writing your own code
It's an amazing course with very interesting quizzes and assignments. A must for Data Science aspirants.
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