About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

You should have beginner level experience in Python. Familarity with regression is recommended.

Approx. 20 hours to complete

English

Subtitles: Arabic, French, Chinese (Simplified), Portuguese (Brazilian), Vietnamese, English, Spanish, Japanese...

What you will learn

  • Check

    Collect detailed information using R profiler

  • Check

    Configure statistical programming software

  • Check

    Make use of R loop functions and debugging tools

  • Check

    Understand critical programming language concepts

Skills you will gain

Data AnalysisDebuggingR ProgrammingRstudio

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

You should have beginner level experience in Python. Familarity with regression is recommended.

Approx. 20 hours to complete

English

Subtitles: Arabic, French, Chinese (Simplified), Portuguese (Brazilian), Vietnamese, English, Spanish, Japanese...

Learners taking this Course are

  • Biostatisticians
  • Scientists
  • Data Analysts
  • Researchers
  • Economists

Syllabus - What you will learn from this course

Week
1
25 hours to complete

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

28 videos (Total 129 min), 9 readings, 8 quizzes
28 videos
Installing R on Windows3m
Installing R Studio (Mac)1m
Writing Code / Setting Your Working Directory (Windows)7m
Writing Code / Setting Your Working Directory (Mac)7m
Introduction1m
Overview and History of R16m
Getting Help13m
R Console Input and Evaluation4m
Data Types - R Objects and Attributes4m
Data Types - Vectors and Lists6m
Data Types - Matrices3m
Data Types - Factors4m
Data Types - Missing Values2m
Data Types - Data Frames2m
Data Types - Names Attribute1m
Data Types - Summary43s
Reading Tabular Data5m
Reading Large Tables7m
Textual Data Formats4m
Connections: Interfaces to the Outside World4m
Subsetting - Basics4m
Subsetting - Lists4m
Subsetting - Matrices2m
Subsetting - Partial Matching1m
Subsetting - Removing Missing Values3m
Vectorized Operations3m
Introduction to swirl1m
9 readings
Welcome to R Programming10m
About the Instructor10m
Pre-Course Survey10m
Syllabus10m
Course Textbook10m
Course Supplement: The Art of Data Science10m
Data Science Podcast: Not So Standard Deviations10m
Getting Started and R Nuts and Bolts10m
Practical R Exercises in swirl Part 110m
1 practice exercise
Week 1 Quiz40m
Week
2
12 hours to complete

Week 2: Programming with R

13 videos (Total 91 min), 3 readings, 5 quizzes
13 videos
Control Structures - If-else1m
Control Structures - For loops4m
Control Structures - While loops3m
Control Structures - Repeat, Next, Break4m
Your First R Function10m
Functions (part 1)9m
Functions (part 2)7m
Scoping Rules - Symbol Binding10m
Scoping Rules - R Scoping Rules8m
Scoping Rules - Optimization Example (OPTIONAL)9m
Coding Standards8m
Dates and Times10m
3 readings
Week 2: Programming with R10m
Practical R Exercises in swirl Part 210m
Programming Assignment 1 INSTRUCTIONS: Air Pollution10m
2 practice exercises
Week 2 Quiz20m
Programming Assignment 1: Quiz20m
Week
3
10 hours to complete

Week 3: Loop Functions and Debugging

8 videos (Total 61 min), 2 readings, 4 quizzes
8 videos
Loop Functions - apply7m
Loop Functions - mapply4m
Loop Functions - tapply3m
Loop Functions - split9m
Debugging Tools - Diagnosing the Problem12m
Debugging Tools - Basic Tools6m
Debugging Tools - Using the Tools8m
2 readings
Week 3: Loop Functions and Debugging10m
Practical R Exercises in swirl Part 310m
1 practice exercise
Week 3 Quiz10m
Week
4
11 hours to complete

Week 4: Simulation & Profiling

6 videos (Total 42 min), 4 readings, 5 quizzes
6 videos
Simulation - Generating Random Numbers7m
Simulation - Simulating a Linear Model4m
Simulation - Random Sampling2m
R Profiler (part 1)10m
R Profiler (part 2)10m
4 readings
Week 4: Simulation & Profiling10m
Practical R Exercises in swirl Part 410m
Programming Assignment 3 INSTRUCTIONS: Hospital Quality10m
Post-Course Survey10m
2 practice exercises
Week 4 Quiz20m
Programming Assignment 3: Quiz20m
4.6
3155 ReviewsChevron Right

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started a new career after completing these courses

36%

got a tangible career benefit from this course

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Top reviews from R Programming

By JMAug 12th 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.

By WHFeb 3rd 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

Instructors

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.