Branching and merging via command line (Optional)

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IBM
4.5 (18,778 ratings) | 140K Students Enrolled
Course 2 of 9 in the IBM Data Science Specialization
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Reviews

4.5 (18,778 ratings)
  • 5 stars
    68.72%
  • 4 stars
    21.79%
  • 3 stars
    6.28%
  • 2 stars
    1.77%
  • 1 star
    1.41%
NS

Jun 30, 2019

This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.

MA

Nov 29, 2019

This course helped me finding open source tools. I knew about Jupyter Notebooks, but I also got to know more tools. Further, I got IBM subscription too, it would definitely help me in my work.

From the lesson
Open Source Tools
This week, you will learn about three popular tools used in data science: GitHub, Jupyter Notebooks, and RStudio IDE. You will become familiar with the features of each tool, and what makes these tools so popular among data scientists today.

Taught By

  • Romeo Kienzler

    Romeo Kienzler

    Chief Data Scientist, Course Lead
  • Svetlana Levitan

    Svetlana Levitan

    Senior Developer Advocate with IBM Center for Open Data and AI Technologies

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