Introduction to Jupyter Notebook

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Destrezas que aprenderás

Data Science, Github, Python Programming, Jupyter notebooks, Rstudio

Reseñas

4.5 (22,969 calificaciones)

  • 5 stars
    67,64 %
  • 4 stars
    21,96 %
  • 3 stars
    6,53 %
  • 2 stars
    2,06 %
  • 1 star
    1,78 %

RJ

7 de oct. de 2021

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Great course with practical approach to tools that come handy beside data science with python such as git and github, Some basic R coding and a great introduction to IBM Watson studio and cloud.

TY

25 de sep. de 2020

Filled StarFilled StarFilled StarFilled StarFilled Star

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

In this module, 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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    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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