Prerequisites:

Data Analysis with R
Course
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Last Updated March 4, 2022
Last Updated March 4, 2022
Prerequisites:
No experience required
Course Lessons
Lesson 1
What is EDA?
Learn about what exploratory data analysis (EDA) is and why it is important.
Lesson 2
R Basics
Install RStudio and packages, learn the layout and basic commands of R, practice writing basic R scripts, and inspect data sets.
Lesson 3
Explore One Variable
Learn how to quantify and visualize individual variables within a data set using histograms, boxplots, and transforms.
Lesson 4
Problem Set: Explore One Variable
Practice using R functions and univariate visualizations to explore and understand individual variables.
Lesson 5
Explore Two Variables
Learn techniques for exploring the relationship between any two variables in a data set, including scatter plots, line plots, and correlations.
Lesson 6
Problem Set: Explore Two Variables
Practice using bivariate exploration techniques to explore relationships between variables.
Lesson 7
Explore Many Variables
Learn powerful methods for examining relationships among multiple variables, and find out how to reshape your data.
Lesson 8
Problem Set: Explore Many Variables
Practice using multivariate exploration techniques to look at more complicated relationships between multiple variables.
Lesson 9
Diamonds & Price Predictions
Put it all together in this case study where we investigate the diamonds data set alongside Facebook Data Scientist, Solomon Messing.
Lesson 10
Final Project
Taught By The Best

Moira Burke
Instructor

Chris Saden
Instructor

Solomon Messing
Instructor

Dean Eckles
Instructor
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