Chevron Left
返回到 Tools for Data Science

学生对 IBM 技能网络 提供的 Tools for Data Science 的评价和反馈

4.5
24,659 个评分

课程概述

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

热门审阅

ED

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

筛选依据:

3876 - Tools for Data Science 的 3900 个评论(共 3,989 个)

创建者 Abhishek R

Aug 28, 2020

创建者 Deleted A

Apr 30, 2020

创建者 Sudipta D

May 9, 2020

创建者 Katrina P

Mar 1, 2020

创建者 Vinicius S

Jul 11, 2022

创建者 Saurabh K

Jan 24, 2020

创建者 Konstantinos K

Apr 3, 2021

创建者 郑程升

Feb 10, 2022

创建者 Iulia B

Mar 21, 2020

创建者 Bogdan P

May 8, 2021

创建者 Thomas W

Feb 10, 2020

创建者 Jamie B

Oct 27, 2020

创建者 HSU

Dec 23, 2021

创建者 Saahil S B

Mar 10, 2020

创建者 Jason N

Aug 15, 2021

创建者 Catherine R

Dec 7, 2021

创建者 Tushar A

Apr 25, 2021

创建者 Rubén A

May 11, 2020

创建者 Mijail M Z

Dec 22, 2019

创建者 Merza K

Dec 4, 2019

创建者 Taha S

Sep 8, 2020

创建者 Jikai Z

Jan 30, 2020

创建者 Soham P

Sep 7, 2020

创建者 Atilla M T

Feb 16, 2019