About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Beginner Level

Beginner level; no previous experience necessary.

Approx. 18 hours to complete
English

What you will learn

  • Calculate descriptive statistics and create graphical representations using R software

  • Solve problems and make decisions using probability distributions

  • Explore the basics of sampling and sampling distributions with respect to statistical inference

  • Classify types of data with scales of measurement

Skills you will gain

  • analyzing data
  • describing data
  • using R
  • graphing 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.
Beginner Level

Beginner level; no previous experience necessary.

Approx. 18 hours to complete
English

Offered by

Placeholder

University of Colorado Boulder

Start working towards your degree

This Course is part of an online degree program offered by the University of Colorado Boulder. When you enroll in a for-credit non-degree course through the university and complete it online, it counts as credit hours towards a degree at CU-Boulder. All you have to do is apply through the university.

Syllabus - What you will learn from this course

Week
1
Week 1
3 hours to complete

Data and Measurement

3 hours to complete
7 videos (Total 48 min), 2 readings, 2 quizzes
Week
2
Week 2
5 hours to complete

Describing Data Graphically and Numerically

5 hours to complete
11 videos (Total 85 min)
Week
3
Week 3
4 hours to complete

Probability and Probability Distributions

4 hours to complete
8 videos (Total 70 min)
Week
4
Week 4
3 hours to complete

Sampling Distributions, Error and Estimation

3 hours to complete
8 videos (Total 55 min)

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About the Data Science Methods for Quality Improvement Specialization

Data Science Methods for Quality Improvement

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