About this Course

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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Familiarity with regression is recommended.

Approx. 57 hours to complete
English

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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Familiarity with regression is recommended.

Approx. 57 hours to complete
English

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

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Week1
Week 1
25 hours to complete

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

25 hours to complete
28 videos (Total 129 min), 9 readings, 8 quizzes
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
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

11 hours to complete
6 videos (Total 42 min), 4 readings, 5 quizzes

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