- R Programming
- Web Scraping
- Integrated Development Environments
- Data Manipulation
- Data Structures
- Data Import/Export
- Data Science
- Jupyter
- Programming Principles
- Exploratory Data Analysis
- Data Analysis
Introduction to R Programming for Data Science
Completed by حسام احمد حسين قنديل
October 11, 2023
11 hours (approximately)
حسام احمد حسين قنديل'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
