Branching and merging via command line (Optional)

video-placeholder
Loading...
IBM
IBM

4.5(21,886 個評分)

 | 

220K 名學生已註冊

課程 2(共 10 門,IBM 数据科学 專業證書

查看授課大綱

審閱

4.5(21,886 個評分)

  • 5 stars
    67.73%
  • 4 stars
    21.90%
  • 3 stars
    6.57%
  • 2 stars
    2.04%
  • 1 star
    1.73%

TY

2020年9月25日

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.

AH

2021年4月17日

Filled StarFilled StarFilled StarFilled StarFilled Star

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

從本節課中

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.

教學方

  • Placeholder

    Aije Egwaikhide

    Senior Data Scientist

  • Placeholder

    Svetlana Levitan

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

  • Placeholder

    Romeo Kienzler

    Chief Data Scientist, Course Lead

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。