About this Course

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Learner Career Outcomes

39%

started a new career after completing these courses

35%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 18 hours to complete
English

What you will learn

  • Set up R, R-Studio, Github and other useful tools

  • Understand the data, problems, and tools that data analysts use

  • Explain essential study design concepts

  • Create a Github repository

Skills you will gain

Data ScienceGithubR ProgrammingRstudio

Learner Career Outcomes

39%

started a new career after completing these courses

35%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 18 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(106,016 ratings)Info
Week
1

Week 1

5 hours to complete

Data Science Fundamentals

5 hours to complete
5 videos (Total 40 min), 2 readings, 5 quizzes
5 videos
What is Data Science?9m
What is Data?6m
Getting Help10m
The Data Science Process9m
2 readings
Welcome5m
A Note of Explanation2m
5 practice exercises
What is Data Science?30m
What is Data?30m
Getting Help Quiz30m
Data Science Process30m
Module One Summative Quiz30m
Week
2

Week 2

5 hours to complete

R and RStudio

5 hours to complete
5 videos (Total 34 min)
5 videos
Installing R Studio3m
RStudio Tour7m
R Packages11m
Projects in R5m
6 practice exercises
Installing R30m
Installing R Studio30m
RStudio Tour30m
R Packages30m
Projects in R30m
Module Two Summative Quiz30m
Week
3

Week 3

4 hours to complete

Version Control and GitHub

4 hours to complete
4 videos (Total 28 min)
4 videos
Github and Git8m
Linking Github and R Studio4m
Projects under Version Control4m
5 practice exercises
Version Control30m
GitHub and Git30m
Linking Git/GitHub and RStudio30m
Projects under Version Control30m
Module Three Summative Quiz30m
Week
4

Week 4

5 hours to complete

R Markdown, Scientific Thinking, and Big Data

5 hours to complete
4 videos (Total 34 min)
4 videos
Types of Data Science Questions9m
Experimental Design9m
Big Data6m
5 practice exercises
R Markdown30m
Types of Data Science Questions30m
Experimental Design30m
Big Data30m
Module Four Summative Quiz30m

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