About this Specialization

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As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.
Learner Career Outcomes
67%
Started a new career after completing this specialization.
57%
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.

Advanced Level

Approx. 4 months to complete

Suggested 5 hours/week

English

Subtitles: English, Vietnamese, French, Arabic, Chinese (Simplified)
Learner Career Outcomes
67%
Started a new career after completing this specialization.
57%
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.

Advanced Level

Approx. 4 months to complete

Suggested 5 hours/week

English

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

There are 4 Courses in this Specialization

Course1

Course 1

Fundamentals of Scalable Data Science

4.3
stars
1,211 ratings
264 reviews
Course2

Course 2

Advanced Machine Learning and Signal Processing

4.5
stars
781 ratings
133 reviews
Course3

Course 3

Applied AI with DeepLearning

4.4
stars
777 ratings
130 reviews
Course4

Course 4

Advanced Data Science Capstone

4.6
stars
249 ratings
44 reviews

Offered by

IBM logo

IBM

Frequently Asked Questions

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • 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.

  • 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.