Git and GitHub via command line (Optional)

Loading...
Просмотреть программу курса

Рецензии

4.5 (оценок: 19,386)
  • 5 stars
    68.47%
  • 4 stars
    21.79%
  • 3 stars
    6.33%
  • 2 stars
    1.87%
  • 1 star
    1.51%
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.

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.

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

  • Placeholder

    Romeo Kienzler

    Chief Data Scientist, Course Lead
  • Placeholder

    Svetlana Levitan

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

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.