Prepare to Apply for the University of Michigan MADS Degree | Coursera

The University of Michigan School of Information’s online Master of Applied Data Science (MADS) degree is designed for people who want to become a data scientist by learning skills from hands-on projects. You’ll work with real datasets to learn how to put data to work to improve everything from business success to people’s lives.

Applicants are not required to have an advanced technical background — all you need is basic statistics and Python proficiency. These skills can be learned through Statistics for Python and Python 3 Programming Specializations and those courses are curated below.

The University of Michigan School of Information’s online Master of Applied Data Science (MADS) degree is designed for people who want to become a data scientist by learning skills from hands-on projects. You’ll work with real datasets to learn how to put data to work to improve everything from business success to people’s lives.

Applicants are not required to have an advanced technical background — all you need is basic statistics and Python proficiency. These skills can be learned through Statistics for Python and Python 3 Programming Specializations and those courses are curated below.

Brush Up on Python and Statistics: University of Michigan courses curated by Coursera

These Python programming courses and Specializations have been hand-picked by Coursera.

Python 3 Programming

Python 3 Programming

University of Michigan

評分為 4.6（滿分 5 星）。 15025 條評論

Python Basics

Python Basics

University of Michigan

評分為 4.8（滿分 5 星）。 7654 條評論

Python Functions, Files, and Dictionaries

Python Functions, Files, and Dictionaries

University of Michigan

評分為 4.8（滿分 5 星）。 2657 條評論

Data Collection and Processing with Python

Data Collection and Processing with Python

University of Michigan

評分為 4.7（滿分 5 星）。 1966 條評論

Intermediate Level

Python Classes and Inheritance

Python Classes and Inheritance

University of Michigan

評分為 4.7（滿分 5 星）。 1772 條評論

Intermediate Level

Python Project: pillow, tesseract, and opencv

Python Project: pillow, tesseract, and opencv

University of Michigan

評分為 4.1（滿分 5 星）。 888 條評論

Intermediate Level

Statistics with Python

Statistics with Python

University of Michigan

評分為 4.5（滿分 5 星）。 1981 條評論

Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python

University of Michigan

評分為 4.6（滿分 5 星）。 1160 條評論

Inferential Statistical Analysis with Python

Inferential Statistical Analysis with Python

University of Michigan

評分為 4.6（滿分 5 星）。 467 條評論

Intermediate Level

Fitting Statistical Models to Data with Python

Fitting Statistical Models to Data with Python

University of Michigan

評分為 4.4（滿分 5 星）。 347 條評論

Intermediate Level

Join a community of 60 million learners from around the world

4.8 million people have earned a course certificate on Coursera

72% of all learners say their courses made them more confident

83% of people reported tangible career benefit from content on Coursera

All courses include:

100% online
Flexible schedule
Mobile learning
Videos and readings from professors at world-renowned universities and industry leaders
Practice quizzes

Can’t decide what is right for you?

Try the full learning experience for most courses free for 7 days.

Register to learn with Coursera’s community of 35 million learners around the world