4.5
stars
21,955 ratings

Roger D. Peng, PhD +2 more instructors

682,130 already enrolled

Offered By

Johns Hopkins University

About this Course

337,046 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Familiarity with regression is recommended.

Approx. 57 hours to complete

English

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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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Familiarity with regression is recommended.

Approx. 57 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.4/5 (1,871 Ratings)

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Content Rating94%(104,569 ratings)

Week1

Week 1

25 hours to complete

Week 1: Background, Getting Started, and Nuts & Bolts

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.

25 hours to complete

28 videos (Total 129 min), 9 readings, 8 quizzes

28 videos

Installing R on a Mac1mInstalling R on Windows3mInstalling R Studio (Mac)1mWriting Code / Setting Your Working Directory (Windows)7mWriting Code / Setting Your Working Directory (Mac)7mIntroduction1mOverview and History of R16mGetting Help13mR Console Input and Evaluation4mData Types - R Objects and Attributes4mData Types - Vectors and Lists6mData Types - Matrices3mData Types - Factors4mData Types - Missing Values2mData Types - Data Frames2mData Types - Names Attribute1mData Types - Summary43sReading Tabular Data5mReading Large Tables7mTextual Data Formats4mConnections: Interfaces to the Outside World4mSubsetting - Basics4mSubsetting - Lists4mSubsetting - Matrices2mSubsetting - Partial Matching1mSubsetting - Removing Missing Values3mVectorized Operations3mIntroduction to swirl1m

9 readings

Welcome to R Programming10mAbout the Instructor10mPre-Course Survey10mSyllabus10mCourse Textbook10mCourse Supplement: The Art of Data Science10mData Science Podcast: Not So Standard Deviations10mGetting Started and R Nuts and Bolts10mPractical R Exercises in swirl Part 110m

1 practice exercise

Week 1 Quiz30m

Week2

Week 2

12 hours to complete

Week 2: Programming with R

12 hours to complete

13 videos (Total 91 min), 3 readings, 5 quizzes

13 videos

Control Structures - Introduction54sControl Structures - If-else1mControl Structures - For loops4mControl Structures - While loops3mControl Structures - Repeat, Next, Break4mYour First R Function10mFunctions (part 1)9mFunctions (part 2)7mScoping Rules - Symbol Binding10mScoping Rules - R Scoping Rules8mScoping Rules - Optimization Example (OPTIONAL)9mCoding Standards8mDates and Times10m

3 readings

Week 2: Programming with R10mPractical R Exercises in swirl Part 210mProgramming Assignment 1 INSTRUCTIONS: Air Pollution10m

2 practice exercises

Week 2 Quiz30mProgramming Assignment 1: Quiz30m

Week3

Week 3

9 hours to complete

Week 3: Loop Functions and Debugging

9 hours to complete

8 videos (Total 61 min), 2 readings, 4 quizzes

Week4

Week 4

11 hours to complete

Week 4: Simulation & Profiling

This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.

11 hours to complete

6 videos (Total 42 min), 4 readings, 5 quizzes

6 videos

The str Function6mSimulation - Generating Random Numbers7mSimulation - Simulating a Linear Model4mSimulation - Random Sampling2mR Profiler (part 1)10mR Profiler (part 2)10m

4 readings

Week 4: Simulation & Profiling10mPractical R Exercises in swirl Part 410mProgramming Assignment 3 INSTRUCTIONS: Hospital Quality10mPost-Course Survey10m

2 practice exercises

Week 4 Quiz30mProgramming Assignment 3: Quiz30m

Reviews

4.5

4768 reviews

5 stars
68.12%
4 stars
22.14%
3 stars
5.83%
2 stars
2.06%
1 star
1.83%

TOP REVIEWS FROM R PROGRAMMING

by MLNov 2, 2018

This is a very thorough introduction to R. There are plenty of exercises to quickly get familiar with the language. Some good guided assignments really help getting familiar with coding functions.

by SSMar 29, 2021

Nice course but it would be better if more links to this course and exercises were added for students to be able to have more practices not only with swirl ( ) but also with trustable third parties.

by CHApr 30, 2020

I would have preferred the 'robot voice' concept from the toolbox course, since it could be updated to more recent R upgrades, but the assignments really made me think and that was my favorite part.

by JMAug 11, 2019

Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.

View all reviews

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
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R Programming

About this Course

What you will learn

Skills you will gain

Instructors

Roger D. Peng, PhD

Jeff Leek, PhD

Brian Caffo, PhD

Offered by

Johns Hopkins University

Syllabus - What you will learn from this course

Week 1: Background, Getting Started, and Nuts & Bolts

Week 2: Programming with R

Week 3: Loop Functions and Debugging

Week 4: Simulation & Profiling

Reviews

TOP REVIEWS FROM R PROGRAMMING

Frequently Asked Questions

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R Programming

About this Course

What you will learn

Skills you will gain

Instructors

Roger D. Peng, PhD

Jeff Leek, PhD

Brian Caffo, PhD

Offered by

Johns Hopkins University

Syllabus - What you will learn from this course

Week 1: Background, Getting Started, and Nuts & Bolts

Week 2: Programming with R

Week 3: Loop Functions and Debugging

Week 4: Simulation & Profiling

Reviews

TOP REVIEWS FROM R PROGRAMMING

Frequently Asked Questions

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