Applied Data Science with Python Specialization

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Course Features

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Duration

5 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

7 hours per week

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Teaching Type

Self Paced

Course Description

This University of Michigan specialization teaches data science using the python programming languages. This skills-based specialization is for those who already have programming or a basic knowledge of python. They will use popular python tools such as scikit-learn and pandas to analyze their data. Introduction to Data Science (course 1), Applied Plotting Charting & Data Representation (course 2) and Applied Machine Learning (course 3) should all be taken together. Courses 4 and 5 may be taken in any order after you have completed those courses. To earn a certificate, you must complete all five courses.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Conduct an inferential statistical analysis

Discern whether a data visualization is good or bad

Enhance a data analysis with applied machine learning

Analyze the connectivity of a social network

Course Instructors

Christopher Brooks

Assistant Professor

Christopher Brooks is a Research Assistant Professor in the School of Information and Director of Learning Analytics and Research in the Office of Digital Education & Innovation at the University of ...

Kevyn Collins-Thompson

Associate Professor

Kevyn Collins-Thompson is an Associate Professor of Information and Computer Science in the School of Information at the University of Michigan. He works on developing algorithms and systems for effe...

V. G. Vinod Vydiswaran

Assistant Professor

V. G. Vinod Vydiswaran is an Assistant Professor of Learning Health Sciences, Medical School and Assistant Professor of Information, School of Information at the University of Michigan. His research ...

Daniel Romero

Assistant Professor

Daniel Romero is an Assistant Professor with the School of Information at the University of Michigan. His main research interest is in the empirical and theoretical analysis of Social and Information...
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