About this Course

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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.
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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Week
1
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
Week
2
Week 2
12 hours to complete

Week 2: Programming with R

12 hours to complete
13 videos (Total 91 min), 3 readings, 5 quizzes
Week
3
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
Week
4
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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