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

4.5
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30,217 个评分

课程概述

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. 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. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

热门审阅

LK

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

AA

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

筛选依据：

3376 - Tools for Data Science 的 3400 个评论（共 4,955 个）

创建者 Fang W

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Apr 6, 2022

As a paid course, there are too many IBM products ADs.

创建者 Govind D

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Apr 1, 2021

GOOD COURSE- please add OJT Kind of Modules in Training

创建者 Myles A S

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Aug 9, 2020

An interesting and fun course. Possibly a bit too easy.

创建者 Matias F N

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Apr 22, 2019

It could use more practical examples, but great anyway.

创建者 Shrey S

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May 28, 2020

The content for Data Refinery could be improved a bit.

创建者 Jeroen L

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May 8, 2020

Some of the walk-throughs for Watson Studio are dated.

创建者 Vasanthaenian S

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Mar 23, 2020

A good introduction to various Notebooks & easy to use

创建者 shubham g

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Jan 27, 2020

course's final assignment should be little bit harder

创建者 Marco

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Jan 6, 2020

Some of the links to external pages have to be updated

创建者 VIGNESHKUMAR R

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Dec 14, 2019

Interesting course ,learn more basic from this course.

创建者 Corneliu C

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Nov 9, 2019

IBM Watson Data Science Experience needs to be updated

创建者 Alysson C

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Oct 7, 2019

The course is good, but need a update in the IBM part.

创建者 Praveen H

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Aug 27, 2019

Really Amazing flow of training materials. I liked it.

创建者 Parul S M

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Aug 2, 2019

lab videos are not updated to IBM Watson studio else n

创建者 AYUSH A

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May 31, 2019

good for the basic knowledge of the data science tools

创建者 TaotheTaoist -

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Sep 3, 2023

beside Video audio monotone, I have no other complain

创建者 shpu n

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May 28, 2023

There were some inconsistencies in the order of tasks

创建者 ANCY P J

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Jun 27, 2022

This course is much helpful for me to build my career

创建者 Zhao Y

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Jan 28, 2020

Good overview of all the available open source tools.

创建者 Koray A K

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Jan 19, 2020

Needs to update. Some videos outdated but works well.

创建者 Alexander P

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Jun 1, 2019

The exercises could have been a bit more challenging.

创建者 Emmanuel

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May 16, 2019

I liked still I need deep learnig from other sources.

创建者 Burçe B Ş

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Nov 17, 2018

There could be more interactive courses on the tools.

创建者 Jairo S B

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Jan 22, 2021

A very good overview to start a data science program

创建者 Leonardo F

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May 31, 2020

In my opinion, material from week 2 needs a revision