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R Programming
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Overview
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.
USD 49
Type: Online
This course includes
- Approx. 57 hours to complete
- Earn a Certificate upon completion
- Start instantly and learn at your own schedule.
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USD 49
Type: Online
This course includes
- Approx. 57 hours to complete
- Earn a Certificate upon completion
- Start instantly and learn at your own schedule.
Taken this course?
Share your experience with other students
R Programming
Created by -
0.00
(0 ratings)
Start Date: February 10th 2021
Course Description
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.
The information used on this page is how each course is described on the Coursera platform.
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About the Instructor
Roger D. Peng, PhD,Jeff Leek, PhD,Brian Caffo, PhD,Johns Hopkins University
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