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:

• Data Science Specialization
• Data Science: Foundations using R Specialization

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 rating4.42/5 (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

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