- Web Scraping
- Exploratory Data Analysis
- Data Manipulation
- Data Import/Export
- Integrated Development Environments
- Data Structures
- R Programming
- Programming Principles
- Data Analysis
- Data Science
- Jupyter
Introduction to R Programming for Data Science
Completed by Adapa Bala Tripura Sundarai Bhavya
November 14, 2021
11 hours (approximately)
Adapa Bala Tripura Sundarai Bhavya's account is verified. Coursera certifies their successful completion of Introduction to R Programming for Data Science
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
