Libraries for Data Science

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Reseñas

4.5 (19,615 calificaciones)
  • 5 stars
    68.27%
  • 4 stars
    21.86%
  • 3 stars
    6.40%
  • 2 stars
    1.89%
  • 1 star
    1.55%
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.

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.

De la lección
Data Scientist's Toolkit

Impartido por:

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    Romeo Kienzler

    Chief Data Scientist, Course Lead
  • Placeholder

    Svetlana Levitan

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

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