Jupyter Architecture

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Reseñas

4.5 (19,428 calificaciones)
  • 5 stars
    68.43%
  • 4 stars
    21.81%
  • 3 stars
    6.34%
  • 2 stars
    1.88%
  • 1 star
    1.51%
TY

Sep 26, 2020

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.

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.

De la lección
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.

Impartido por:

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    Romeo Kienzler

    Chief Data Scientist, Course Lead
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    Svetlana Levitan

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

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