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

특화 과정
5점 만점에 4.6점을 받았습니다. 14860 리뷰
Python Basics

Python Basics

University of Michigan

강좌
5점 만점에 4.8점을 받았습니다. 7618 리뷰
Python Functions, Files, and Dictionaries

Python Functions, Files, and Dictionaries

University of Michigan

강좌
5점 만점에 4.8점을 받았습니다. 2645 리뷰
Data Collection and Processing with Python

Data Collection and Processing with Python

University of Michigan

강좌
5점 만점에 4.7점을 받았습니다. 1954 리뷰
Python Classes and Inheritance

Python Classes and Inheritance

University of Michigan

강좌
5점 만점에 4.7점을 받았습니다. 1759 리뷰
Python Project: pillow, tesseract, and opencv

Python Project: pillow, tesseract, and opencv

University of Michigan

강좌
5점 만점에 4.1점을 받았습니다. 884 리뷰
Statistics with Python

Statistics with Python

University of Michigan

특화 과정
5점 만점에 4.5점을 받았습니다. 1966 리뷰
Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python

University of Michigan

강좌
5점 만점에 4.6점을 받았습니다. 1156 리뷰
Inferential Statistical Analysis with Python

Inferential Statistical Analysis with Python

University of Michigan

강좌
5점 만점에 4.6점을 받았습니다. 465 리뷰
Fitting Statistical Models to Data with Python

Fitting Statistical Models to Data with Python

University of Michigan

강좌
5점 만점에 4.4점을 받았습니다. 345 리뷰

Community
Join a community of 60 million learners from around the world
Certificate
4.8 million people have earned a course certificate on Coursera
Confidence
72% of all learners say their courses made them more confident
Career
83% of people reported tangible career benefit from content on Coursera
All courses include:
  • Check100% online
  • CheckFlexible schedule
  • CheckMobile learning
  • CheckVideos and readings from professors at world-renowned universities and industry leaders
  • CheckPractice 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