About this Specialization

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This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.
Learner Career Outcomes
50%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 3 months to complete
Suggested 4 hours/week
English
Learner Career Outcomes
50%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 3 months to complete
Suggested 4 hours/week
English

There are 3 Courses in this Specialization

Course1

Course 1

Understanding and Visualizing Data with Python

4.7
stars
1,510 ratings
302 reviews
Course2

Course 2

Inferential Statistical Analysis with Python

4.6
stars
568 ratings
96 reviews
Course3

Course 3

Fitting Statistical Models to Data with Python

4.4
stars
421 ratings
80 reviews

Offered by

Placeholder

University of Michigan

Frequently Asked Questions

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