- Program Development
- Data Analysis
- Performance Tuning
- Programming Principles
- Debugging
- Data Structures
- Computer Programming Tools
- Statistical Analysis
- Statistical Programming
- Data Import/Export
- Simulations
- R Programming
R Programming
Completed by Christopher Dae-Hyun Kim
May 20, 2020
57 hours (approximately)
Christopher Dae-Hyun Kim's account is verified. Coursera certifies their successful completion of R Programming
What you will learn
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R profiler
Skills you will gain
