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

  • Christopher Brooks

    Taught by:    Christopher Brooks


Basic InfoCourse 1 of 5 in the Applied Data Science with Python Specialization.
LevelIntermediate
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
Course 1 of Specialization
Syllabus

FAQs

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How It Works
Coursework
Coursework

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

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Help from Your Peers

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

Certificates
Certificates

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Creators
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Ratings and Reviews
Rated 4.4 out of 5 of 1,146 ratings

Fantastic course. Quite challenging but it is really worth for people looking to learn python and some of the key concepts in data science. I definitely will continue with the following python courses part of the specialization

Good intro to Pandas and assignments are well designed

Good lecturers and interactive videos

While the course was great, the Jupyter notebooks and the background shells gave me several unnecessary errors. While this was a smaller issue, I think the practice Notebooks should be somewhat in line with the assignments. I struggles on Assignment #3.