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Course Catalog > On Demand Online Learning > Data Literacy and Management

Tools for Data Science   


What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

Difficulty Level: BEGINNER

Estimated Learning Time:  19 hours


Computer Programming Tools

Data Analysis Software

Data Structures

Python Programming

Statistical Programming

Data Visualization Software

Machine Learning Algorithms


Course Instructor PhotoAije Egwaikhide
Senior Data Scientist

Course Instructor PhotoSvetlana Levitan
Senior Developer Advocate with IBM Center for Open Data and AI Technologies

Course Instructor PhotoRomeo Kienzler
Chief Data Scientist, Course Lead
IBM Watson IoT

  • Tools for Data Science
  • Fee: $59.00

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