About this Course

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Learner Career Outcomes

46%

started a new career after completing these courses

45%

got a tangible career benefit from this course

19%

got a pay increase or promotion

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. 15 hours to complete

English

Subtitles: English

Learner Career Outcomes

46%

started a new career after completing these courses

45%

got a tangible career benefit from this course

19%

got a pay increase or promotion

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. 15 hours to complete

English

Subtitles: English

Instructor

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up86%(13,912 ratings)Info
Week
1

Week 1

4 hours to complete

Data Scientist's Toolkit

4 hours to complete
17 videos (Total 84 min), 1 reading, 4 quizzes
17 videos
Languages of Data Science2m
Introduction to Python3m
Introduction to R Language3m
Introduction to SQL3m
Other Languages6m
Categories of Data Science Tools2m
Open Source Tools for Data Science - Part 17m
Open Source Tools for Data Science - Part 25m
Commercial Tools for Data Science5m
Cloud Based Tools for Data Science8m
Libraries for Data Science4m
Application Programming Interfaces (API)4m
Data Sets - Powering Data Science6m
Sharing Enterprise Data - Data Asset eXchange3m
Machine Learning Models7m
The Model Asset Exchange5m
1 reading
Lab - Explore Data Sets and Models 10m
4 practice exercises
Practice Quiz - Languages 30m
Practice Quiz - Tools30m
Practice Quiz - Packages, APIs, Data Sets, Models30m
Graded Quiz30m
Week
2

Week 2

5 hours to complete

Open Source Tools

5 hours to complete
10 videos (Total 57 min), 4 readings, 7 quizzes
10 videos
GitHub - Part 19m
GitHub - Part 25m
GitHub - Part 38m
Getting Started with Jupyter Notebook5m
Getting Started with JupyterLab6m
Jupyter Architecture6m
What is RStudio IDE?4m
Installing Packages and Loading Libraries in RStudio IDE2m
Plotting Within RStudio IDE3m
4 readings
Lab - Getting Started with GitHub10m
Jupyter Notebooks on the Internet10m
Lab: RStudio – The Basics10m
Lab: Creating an Interactive Map in R10m
4 practice exercises
Practice Quiz - GitHub30m
Practice Quiz - Jupyter Notebook30m
Practice Quiz - RStudio IDE30m
Graded Quiz30m
Week
3

Week 3

3 hours to complete

IBM Tools for Data Science 

3 hours to complete
15 videos (Total 72 min), 2 readings, 3 quizzes
15 videos
Watson Studio Introduction4m
Creating an Account on IBM Watson Studio2m
Jupyter Notebook in Watson Studio - Part 1 2m
Jupyter Notebook in Watson Studio - Part 23m
Linking GitHub to Watson Studio2m
Other IBM Tools for Data Science1m
IBM Watson Knowledge Catalog6m
Data Refinery7m
SPSS Modeler Flows in Watson Studio6m
IBM SPSS Modeler7m
SPSS Statistics7m
Model Deployment with Watson Machine Learning4m
Auto AI in Watson Studio4m
IBM Watson OpenScale7m
2 readings
Lab: Creating a Watson Studio Project with Jupyter Notebook10m
Lab: Modeler Flows in Watson Studio10m
3 practice exercises
Practice Quiz - Watson Studio30m
Practice Quiz - Other IBM Tools30m
Graded Quiz30m
Week
4

Week 4

3 hours to complete

Final Assignment: Create and Share Your Jupyter Notebook

3 hours to complete
1 reading
1 reading
IBM Digital Badge2m

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.

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