About this Course

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Learner Career Outcomes

41%

started a new career after completing these courses

40%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 9 hours to complete

English

Subtitles: English

Learner Career Outcomes

41%

started a new career after completing these courses

40%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 9 hours to complete

English

Subtitles: English

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(50,891 ratings)Info
Week
1

Week 1

2 hours to complete

Defining Data Science and What Data Scientists Do

2 hours to complete
8 videos (Total 27 min), 6 readings, 2 quizzes
8 videos
Fundamentals of Data Science2m
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Old problems, new problems, Data Science solutions3m
Data Science Topics and Algorithms3m
Cloud for Data Science3m
6 readings
Course Syllabus10m
Professional Certificate Career Support10m
Data Science: The Sexiest Job in the 21st Century20m
Lesson Summary10m
What Makes Someone a Data Scientist?20m
Lesson Summary10m
2 practice exercises
Data Science: The Sexiest Job in the 21st Century10m
What Makes Someone a Data Scientist?10m
Week
2

Week 2

2 hours to complete

Data Science Topics

2 hours to complete
8 videos (Total 39 min), 6 readings, 2 quizzes
8 videos
What is Hadoop?6m
How Big Data is Driving Digital Transformation3m
Data Science Skills & Big Data4m
Data Scientists at New York University4m
What's the difference?4m
Neural Networks and Deep Learning6m
Applications of Machine Learning3m
6 readings
Data Mining10m
Lesson Summary10m
Regression20m
Lesson Summary10m
Exercise: Identifying objects in images with IBM Watson3m
Exercise: Upload and classify your images!30m
2 practice exercises
Data Mining10m
Regression10m
Week
3

Week 3

4 hours to complete

Data Science in Business

4 hours to complete
7 videos (Total 31 min), 6 readings, 3 quizzes
7 videos
How Should Companies Get Started in Data Science?2m
Applications of Data Science3m
How Can Someone Become a Data Scientist?5m
Recruiting for Data Science7m
Careers in Data Science2m
High School Students and Data Science Careers4m
6 readings
The Final Deliverable20m
Lesson Summary10m
Lesson Summary10m
The Report Structure20m
Lesson Summary10m
IBM Digital Badge2m
2 practice exercises
The Final Deliverable10m
The Report Structure10m

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • 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.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.