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.

Advanced Level

Approx. 2 months to complete

Suggested 13 hours/week

English

Subtitles: English, Vietnamese, French, Arabic, Chinese (Simplified)

Skills you will gain

Data ScienceInternet Of Things (IOT)Deep LearningApache Spark

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Advanced Level

Approx. 2 months to complete

Suggested 13 hours/week

English

Subtitles: English, Vietnamese, French, Arabic, Chinese (Simplified)

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

Fundamentals of Scalable Data Science

4.3
666 ratings
134 reviews
Course2

Advanced Machine Learning and Signal Processing

4.6
400 ratings
48 reviews
Course3

Applied AI with DeepLearning

4.4
475 ratings
70 reviews
Course4

Advanced Data Science Capstone

4.6
121 ratings
18 reviews

Instructors

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Niketan Pansare

Senior Software Engineer
IBM Research
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Tom Hanlon

Training Director
Skymind
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Nikolay Manchev

Data Scientist
IBM EMEA Data Science
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Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT
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Max Pumperla

Deep Learning Engineer
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Ilja Rasin

Data Scientist
IBM Watson Health

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.

  • 16 weeks

  • Fundamentals in python programming is recommended. Basic understanding of machine learning is a plus.

  • Yes, please take the fundamentals course first

  • No. This is a professional specialization from IBM

  • You will be able to perform as a Lead Data Scientist or Architect

More questions? Visit the Learner Help Center.