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

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30,300 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

MO

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

AA

Jul 26, 2023

The skill share network has a problem that it does not work at all there must be a tutorial course for using it before the actual course startbut aside from that ... the course is perfect for me

筛选依据：

3376 - Tools for Data Science 的 3400 个评论（共 4,972 个）

创建者 Vince T

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Oct 13, 2020

Covered a lot of material, and it's an excellent overview.

创建者 Arie D F

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Jan 22, 2020

The course is fantastic, the video about R is a bit laggy.

创建者 VIVEK S

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Dec 27, 2019

Course is great to kick start your Journey in Data Science

创建者 Artem P

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Mar 18, 2019

Good, but why observing only IBM tools ? Looks like an Ad.

创建者 Akash N

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Dec 25, 2021

Good course to know about various tools of data science.

创建者 Ítalo M L L

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Jul 24, 2021

The content about the IBM tools is overdone and too long.

创建者 Kimberly O

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Apr 16, 2020

The lectures were not updated but the forums were helpful

创建者 Yousef H

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Oct 18, 2019

Update the material with new updates on IBM waston please

创建者 Arunjith M

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Jun 2, 2019

Very poor content on Zeppelin for Scala. Others are good.

创建者 Danial J

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Dec 29, 2022

It would have been better not to focus only on IBM tools

创建者 Jessely E

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Nov 28, 2021

Great informational course but did not give me the badge

创建者 Giuseppe M

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May 4, 2020

good presentation, easy speaking, very funny. Thank you!

创建者 Kelly D

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Mar 2, 2020

I really began to understand the tools for data science.

创建者 Spyros V

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May 19, 2019

a bit of difficult to connect to Data Science Experience

创建者 Debabrata H

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May 16, 2025

Good course materials to learn Data Science from basic.

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.