About this Course

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100% online
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Coursera Labs
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Intermediate Level

Calculus, linear algebra, and probability theory.

Approx. 45 hours to complete
English

Skills you will gain

  • Linear Model
  • R Programming
  • Statistical Model
  • regression
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

Calculus, linear algebra, and probability theory.

Approx. 45 hours to complete
English

Offered by

Placeholder

University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week1
Week 1
8 hours to complete

Introduction to Statistical Models

8 hours to complete
8 videos (Total 82 min), 2 readings, 5 quizzes
Week2
Week 2
8 hours to complete

Linear Regression Parameter Estimation

8 hours to complete
9 videos (Total 134 min)
Week3
Week 3
9 hours to complete

Inference in Linear Regression

9 hours to complete
8 videos (Total 121 min), 1 reading, 5 quizzes
Week4
Week 4
6 hours to complete

Prediction and Explanation in Linear Regression Analysis

6 hours to complete
6 videos (Total 82 min)

About the Statistical Modeling for Data Science Applications Specialization

Statistical Modeling for Data Science Applications

Frequently Asked Questions

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