Data Science Tools

Learn on

BeginnerCourse

Unlock the basics of data science with beginner-friendly tools like Jupyter and RStudio. This course guides you through practical skills, starting with Python and Markdown, to enhance your analysis capabilities. Learn to navigate Jupyter Notebook, boost your data manipulation, and streamline your workflow. Discover the essentials in an engaging, step-by-step journey.

Language

English

Topic

Data Science

Skills You Will Learn

Data Science, Jupyter, Jupyter Notebook, Markdown, Python, Rstudio

Offered By

IBMSkillsNetwork

Estimated Effort

7 weeks

Platform

Last Update

December 8, 2025

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.

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.