Git and GitHub via command line (Optional)

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Avis

4.5 (18,763 évaluations)
  • 5 stars
    68.73%
  • 4 stars
    21.79%
  • 3 stars
    6.27%
  • 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.

À partir de la leçon
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.

Enseigné par

  • 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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