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.

Beginner Level

Approx. 2 months to complete

Suggested 12 hours/week

English

Subtitles: English, Korean, German, Turkish, Arabic

Skills you will gain

Data AnalysisPython ProgrammingData Visualization (DataViz)Matplotlib
Learners taking this Specialization are
  • Data Analysts
  • Data Scientists
  • Business Analysts
  • Risk Managers
  • Auditors

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 12 hours/week

English

Subtitles: English, Korean, German, Turkish, Arabic

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 4 Courses in this Specialization

Course1

Python for Data Science and AI

4.6
9,021 ratings
1,223 reviews
Course2

Data Analysis with Python

4.6
6,074 ratings
758 reviews
Course3

Data Visualization with Python

4.6
4,375 ratings
483 reviews
Course4

Applied Data Science Capstone

4.7
2,161 ratings
204 reviews

Instructors

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

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.

  • The specialization consists of 4 courses. Suggested time to complete each course is 3-4 weeks. If you follow recommended timelines it would take 3 to 4 months to complete the entire specialization.

  • No prior experience in data science or programming is required. However it is recommended that you have some foundational knowledge about data science which can be developed by taking the the Introduction to Applied Data Science specialization by IBM.

  • It is strongly recommended that you take the Python for Data Science course first. Then you can take either the Visualization or the Data Science course - whichever you prefer. And end with the Captsone course.

  • No

  • You will be able to learn practical Python skills, and apply them to interesting Data Visualization and Data Analysis problems.

More questions? Visit the Learner Help Center.