// mastery/r-programming-mastery.course
R Programming Mastery
R fundamentals through advanced statistical computing.
12 lessons
50 hours
Certificate included
4.8/5 0 reviews
// what you'll actually build
Capstone project: analyze a course catalog
Build a data frame representing this platform's course catalog and analyze it. Requirements A data frame with columns for title, level, and price. Use sapply to compute a 20%-off price for every course. Report average…
🔒 Unlocks after the free preview — this is lesson 11 of 12.
Curriculum
1
Welcome to R Programming Mastery
2
Syntax and vectors
3
Data frames
4
Functions and the apply family
5
Control flow
6
Basic statistical functions
7
Lists and factors
8
String manipulation
9
Writing custom functions
10
Importing and cleaning data
11
Capstone project: analyze a course catalog
12
Wrap-up and certificate
13
Final exam
What's included
- 12 lessons, 50 hours of content
- Hands-on exercises after every module
- Beginner, Intermediate, and Advanced content bundled together
- Professional portfolio projects
- Final assessment
- Downloadable resources
- Lifetime updates
- Completion certificate
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