About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Intermediate Level

Intro Statistics and Foundational Math

Approx. 35 hours to complete
English

What you will learn

  • Express why Statistical Learning is important and how it can be used.

  • Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem.

  • Determine what type of data and problems require supervised vs. unsupervised techniques.

Skills you will gain

  • Statistics
  • Data Science
  • R Programming
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

Intro Statistics and Foundational Math

Approx. 35 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

Week
1
Week 1
1 hour to complete

Statistical Learning Introduction

1 hour to complete
9 videos (Total 37 min), 1 reading
Week
2
Week 2
7 hours to complete

Accuracy

7 hours to complete
6 videos (Total 34 min)
Week
3
Week 3
1 hour to complete

Simple Linear Regression

1 hour to complete
5 videos (Total 30 min)
Week
4
Week 4
10 hours to complete

Multiple Linear Regression

10 hours to complete
6 videos (Total 35 min)

Frequently Asked Questions

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