Jupyter Architecture

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Рецензии

4.5 (21,925 ratings)

  • 5 stars
    67,72 %
  • 4 stars
    21,91 %
  • 3 stars
    6,58 %
  • 2 stars
    2,04 %
  • 1 star
    1,73 %

TY

25 сент. 2020 г.

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The course is interesting. It presents large spectrum of tools. It could be more helpful to provide general information on different tools and focus on few of them such as R, GitHub for example.

NS

29 июня 2019 г.

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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.

Из урока

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.

Преподаватели

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    Aije Egwaikhide

    Senior Data Scientist

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    Svetlana Levitan

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

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    Romeo Kienzler

    Chief Data Scientist, Course Lead

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