DataCamp
FreeExploratory Data Analysis in R
4.8(1,243)118k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate R course teaches you how to look beneath tabular data using numerical summaries and expressive visualizations. It emphasizes an iterative exploratory approach to detect unusual observations and uncover unexpected patterns.
Who It's For
R programmers and data analysts who want to move beyond basic summary statistics and perform robust visual data exploration.
Key Takeaways
- Graphical Exploration: Produce insightful visualizations to inspect variable distributions and bivariate relationships.
- Numerical Summaries: Apply summary metrics to quantify central tendencies, spread, and group differences.
- Outlier & Structure Identification: Spot unusual data points, uncover structural patterns, and refine hypotheses.
About this course
When your dataset is represented as a table or a database, it's difficult to observe much about it beyond its size and the types of variables it contains. In this course, you'll learn how to use graphical and numerical techniques to begin uncovering the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? By the end of the course, you'll be able to answer these questions and more, while generating graphics that are both insightful and beautiful.
Price
Free
This course is free to enrol.
Enrol free on DataCamp →Advertisement
