About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Approx. 21 hours to complete
English

What you will learn

  • Describe different types of data analytic questions

  • Conduct hypothesis tests of your data

  • Apply linear modeling techniques to answer multivariable questions

  • Apply machine learning workflows to detect complex patterns in your data

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
Approx. 21 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
4 hours to complete

Modeling Data Basics

4 hours to complete
16 readings
Week2
Week 2
1 hour to complete

Inference

1 hour to complete
3 readings
Week3
Week 3
2 hours to complete

Linear Modeling

2 hours to complete
12 readings
Week4
Week 4
1 hour to complete

Multiple Linear Regression

1 hour to complete
1 reading

About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

Frequently Asked Questions

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