About this Specialization

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The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Learner Career Outcomes
36%
Started a new career after completing this specialization.
23%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 5 months to complete
Suggested 6 hours/week
English
Subtitles: English, Chinese (Traditional), Portuguese (Brazilian), Vietnamese, Korean, Hebrew...
Learner Career Outcomes
36%
Started a new career after completing this specialization.
23%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 5 months to complete
Suggested 6 hours/week
English
Subtitles: English, Chinese (Traditional), Portuguese (Brazilian), Vietnamese, Korean, Hebrew...

There are 5 Courses in this Specialization

Course1

Course 1

Introduction to Data Science in Python

4.5
stars
20,769 ratings
4,658 reviews
Course2

Course 2

Applied Plotting, Charting & Data Representation in Python

4.5
stars
4,926 ratings
810 reviews
Course3

Course 3

Applied Machine Learning in Python

4.6
stars
6,215 ratings
1,114 reviews
Course4

Course 4

Applied Text Mining in Python

4.3
stars
3,002 ratings
575 reviews

Offered by

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University of Michigan

Frequently Asked Questions

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  • 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.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • 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. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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