Contributing to repositories via pull request (Optional)

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Reseñas

4.5 (19,874 calificaciones)
  • 5 stars
    68.13%
  • 4 stars
    21.88%
  • 3 stars
    6.44%
  • 2 stars
    1.94%
  • 1 star
    1.58%
RR
24 de abr. de 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

TY
25 de sep. de 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.

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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    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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