Course · Intermediate
Introduction to Data Cleaning in R
In this course, you'll learn to perform common data cleaning tasks using the R programming language.
- Intermediate friendly
- 6 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Develop practical data cleaning skills in R by reshaping tables, fixing missing values, and preparing relational data for analysis.
What's inside
5 lessons · 1 project
- 01 109 minData Cleaning With R
Learn to simplify DataFrames, change data types, and create new variables.
- 02 56 minString Manipulation
Practice string manipulation as you prepare six DataFrames for analysis.
- 03 57 minCorrelations and Reshaping Data
Continue learning techniques for data cleaning and analysis as you work with real-world data.
- 04 46 minDealing With Missing Data
Learn to decide how to handle missing values in your data set.
- 05 25 minGuided Project: NYC Schools Perceptions Project
For this project, you'll become a data analyst using R Notebooks to clean, reshape and visualize NYC school survey data, uncovering insights into school quality perceptions.
- 06 39 minRelational Data
Learn to work with relational data as you prepare six DataFrames for analysis.
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Work with real data from day one with interactive lessons and hands-on exercises.
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