R Programming
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
This course is part of multiple programs
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
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
- Data Analysis
- Debugging
- R Programming
- Rstudio
Instructor rating
4.42/5 (843 Ratings)
Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
1,106,635 Learners
22 Courses
Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
1,122,956 Learners
20 Courses
Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health
1,125,342 Learners
21 Courses
