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Data Science Tools

Learn about the most popular data science tools, including how to use them and what their features are.

...
Data Science Tools

There is one session available:

31,366 already enrolled!
Starts Mar 22
Ends Dec 31
Enroll

Data Science Tools

Learn about the most popular data science tools, including how to use them and what their features are.

Data Science Tools
7 weeks
3–7 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

31,366 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 22
Ends Dec 31
Enroll
Data Science Tools

About this course

Skip About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.

This hands-on course will get you up and running with some of the latest and greatest data science tools.

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Data Science Tools

At a glance

What you'll learn

Skip What you'll learn
  • How to use various data science and data visualization tools hosted on Skills Network Labs
  • How to use Jupyter Notebooks including its features and why it's so popular
  • Popular tools used by R Programmers including RStudio IDE
  • IBM Watson Studio including its features and capabilities
  • How to create and share a Jupyter Notebook

About the instructors

Ways to take this course

Choose your path when you enroll.
Verified Track
Audit Track

Price

$99 USD

Free

Access to course materials

Unlimited

Limited

Expires on May 10

World class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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