- Jupyter
- Programming Principles
- Integrated Development Environments
- Data Science
- R Programming
- Data Import/Export
- Data Analysis
- Web Scraping
- Data Manipulation
- Data Structures
- Exploratory Data Analysis
Introduction to R Programming for Data Science
Completed by KASI SAI KUMAR REDDY MADDULA
June 22, 2022
11 hours (approximately)
KASI SAI KUMAR REDDY MADDULA'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
