Who is this class for: This course is part of the skills-based specialization “Applied Data Science with Python“ and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data. Only minimal statistics background is expected, and the first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.


Created by:   University of Michigan

Basic Info
LevelIntermediate
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
University of Michigan
Ratings and Reviews
Rated 4.5 out of 5 of 1,450 ratings

Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.

It was a great learning experience.

The video classes are informative and very clear. The exercises during the classes were thorough and allowed me to apprehend the concepts at a good pace. My only problem were the auto-graded exams. Sometimes the questions are not crystal clear and the auto-grader isn't intelligent enough to discern between a logical mistake and some detail about table formatting. Fortunately these problems are discussed in the forums and usually one can get clues on what they can be from the mentors.

A very challenging course. The assignments are the best part of the course and it takes up a lot of time and patience to complete them. The discussion forum is fairly engaging and the mentors are very responsive. Overall, this course is a big boost in the field of Data science