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
750,157 already enrolled
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Gain insight into a topic and learn the fundamentals.
22,368 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: Data Structures
- Category: Simulations
- Category: Performance Tuning
- Category: Data Import/Export
- Category: Statistical Analysis
- Category: Statistical Methods
- Category: Debugging
- Category: Data Analysis
- Category: Software Installation
- Category: Programming Principles
- Category: Program Development
- Category: Statistical Programming
Tools you'll learn
- Category: R (Software)
- Category: R Programming
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 Courses1,686,862 learners
Offered by
Johns Hopkins University
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Showing 3 of 22368
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.
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.
MR
Reviewed on Aug 29, 2021
Fantastic course for learning R in a dynamic way, with clear goals. A lot of information is given, so I'd say that studying in between lectures is a must, if one wants to learn things really well.