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.
R Programming
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R Programming
This course is part of multiple programs.
Instructors: Roger D. Peng, PhD +2 more
750,227 already enrolled
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22,369 reviews
Intermediate level
Recommended experience
Flexible schedule
6 weeks at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
What you'll 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'll gain
- Category: Statistical Methods
- Category: Data Analysis
- Category: Data Structures
- Category: Debugging
- Category: Program Development
- Category: Performance Tuning
- Category: Software Installation
- Category: Programming Principles
- Category: Data Import/Export
- Category: Statistical Programming
- Category: Statistical Analysis
- Category: Simulations
Tools you'll learn
- Category: R Programming
- Category: R (Software)
Details to know
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Assessments
6 assignments
Taught in English
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Instructors
Instructor ratings
(1,980 ratings)Roger D. Peng, PhD
Johns Hopkins University
37 Courses1,687,016 learners
Offered by
Johns Hopkins University
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Showing 3 of 22369
AB
Reviewed on Sep 6, 2017
Great course for people who work with data a lot. This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.
RR
Reviewed on Feb 20, 2017
I am pleasantly surprised with the quality of this course. For a beginner, the Swirl exercises are incredibly helpful and I was able to build confidence in working with R because of them. Thank you!
YZ
Reviewed on Jul 16, 2020
This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.