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.
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About this Course
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Try Coursera for BusinessWhat 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
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Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
R Basics
Common Data Structures
R Programming Fundamentals
Working with Data
Reviews
- 5 stars70.18%
- 4 stars21.09%
- 3 stars2.90%
- 2 stars0.72%
- 1 star5.09%
TOP REVIEWS FROM INTRODUCTION TO R PROGRAMMING FOR DATA SCIENCE
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.
Good introductory course... Yet I suggest you to complete analytics and visualization with R courses for more clarity and familarity...
The course is very good and their labs-on area excellent. Congratulations!
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