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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：

3351 - Tools for Data Science 的 3375 个评论（共 4,955 个）

创建者 alan f

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Mar 25, 2019

It was an interesting introduction to some new tools for me.

创建者 E V N

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Sep 25, 2024

some of the guides seemed out of date with tools being used

创建者 Kenson M

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May 24, 2022

The best course i have found on the tools for Data Science.

创建者 Azaliia H

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Oct 11, 2020

Thanks for the Course! It was pretty hard, but interesting.

创建者 Wesen T

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Jan 30, 2020

This is a great course to learn critical Data science tool.

创建者 Philip K

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Aug 26, 2019

Great introduction to open source options for Data Science.

创建者 Roshan P

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Apr 15, 2019

Good that It introduces various tools with the differences.

创建者 Barisia E N

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Dec 29, 2024

Packed with lots of information and handson practical labs

创建者 Ed S

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Apr 27, 2022

Seems to be heavily skewed towards IBM tools and questions

创建者 Bruna T K

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Mar 1, 2021

Very well explained and support is great. Would recommend.

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.