Introduction to R Programming for Data Science

This course is part of multiple programs. Learn more

Instructor: Yan Luo

What you'll 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'll gain

  •   Integrated Development Environments
  •   Web Scraping
  •   Jupyter
  •   Data Science
  •   R Programming
  •   Data Analysis
  •   Data Structures
  •   Data Manipulation
  •   Programming Principles
  •   Data Import/Export
  •   Exploratory Data Analysis
  • There are 5 modules in this course

    You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. The emphasis in this course is hands-on and practical learning . You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights. No prior knowledge of R, or programming is required.

    Common Data Structures

    R Programming Fundamentals

    Working with Data

    Final Project

    Explore more from Data Analysis

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