About this Specialization

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 4 months to complete

Suggested 8 hours/week

English

Subtitles: English, Chinese (Traditional), Portuguese (Brazilian), Vietnamese, Korean, Hebrew...

What you will learn

  • Check
    Analyze the connectivity of a social network
  • Check
    Conduct an inferential statistical analysis
  • Check
    Discern whether a data visualization is good or bad
  • Check
    Enhance a data analysis with applied machine learning

Skills you will gain

Text MiningPython ProgrammingPandasMatplotlib

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 4 months to complete

Suggested 8 hours/week

English

Subtitles: English, Chinese (Traditional), Portuguese (Brazilian), Vietnamese, Korean, Hebrew...

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

Course 1

Introduction to Data Science in Python

4.5
stars
13,886 ratings
3,145 reviews
Course2

Course 2

Applied Plotting, Charting & Data Representation in Python

4.5
stars
3,759 ratings
602 reviews
Course3

Course 3

Applied Machine Learning in Python

4.6
stars
4,633 ratings
799 reviews
Course4

Course 4

Applied Text Mining in Python

4.2
stars
2,318 ratings
435 reviews

Instructors

Image of instructor, Kevyn Collins-Thompson

Kevyn Collins-Thompson 

Associate Professor
School of Information
Image of instructor, V. G. Vinod Vydiswaran

V. G. Vinod Vydiswaran 

Assistant Professor
School of Information
Image of instructor, Daniel Romero

Daniel Romero 

Assistant Professor
School of Information

About 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....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

More questions? Visit the Learner Help Center.