Who is this class for: This course is part of “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 in the specialization 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

  • Daniel Romero

    Taught by:  Daniel Romero, Assistant Professor

    School of Information
Basic Info
LevelIntermediate
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
Syllabus

FAQs
How It Works
Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.

Сертификаты
Сертификаты

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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.
Pricing
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Ratings and Reviews
Rated 4.6 out of 5 of 118 ratings

Great course. Thank you.

Great fun, with practical application.

Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!

Eventhough the tutorial video is also switch to the teacher's face that make me stop the video to see the slide frame.But It's intuitive to understand the basic concept about the network with some exercise to enforce the knowledge. The final exercise is more intersting...