Data Cleaning in R

Learn to perform common data cleaning tasks.

This course will teach you how to clean data as you prepare it for analysis. Topics include relational data, reshaping data frames, dealing with missing data, and more.By the end of this course, you'll be able to:

  • Use new tools for manipulating data frames.
  • Deal with missing data.
  • Understand relational data and methods for joining data frames.
  • Reshape data using the tidyr package.

Course Info:

Data Cleaning in R


The average completion time for this course is 10-hours.

This course is free. This course includes 4 missions and 1 guided project. It is the fourth course in the Data Analyst in R path.


Learn To Clean Data Using R

Data Cleaning With R

Learn to simplify data frames, change data types, and create new variables.

String Manipulation and Relational Data

Practice string manipulation and learn to work with relational data as you prepare six data frames for analysis.

Correlations and Reshaping Data

Continue learning techniques for data cleaning and analysis as you work with real-world data.

Dealing With Missing Data

Learn tools and build intuition you need to decide how to handle missing values in your data set.

NYC Schools Perceptions

Practice your data cleaning and analysis skills and learn to use R Notebooks as you explore survey data.