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

4.5
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:

3326 - Tools for Data Science 的 3350 个评论(共 4,955 个)

创建者 Teofilo E d A e S

Apr 1, 2019

I finished the course with the understand of doing basic stuff.

创建者 Ahmed B

Mar 5, 2019

We need more tutorials on all tools demonstrated in this course

创建者 ELAMPARITHI R

Jan 10, 2019

The lab exercises should be more interactive and better planned

创建者 Dianne G

Feb 2, 2024

The R lab environment needs some attention. But good overall.

创建者 otieno a

Jun 11, 2023

The knowledge that this course gives the learner is invaluable

创建者 ripunjay t

Apr 28, 2023

Course design was not logical, it assignments are very lengthy

创建者 Pranav N

Feb 12, 2023

practical hands-on should be more than the theoretical videos.

创建者 Germán G

Oct 16, 2021

i had problems using spss and ibm watson is hard to understand

创建者 JOSE R P

Sep 4, 2020

Necessario atualizar o curso para nova versao do Watson Studio

创建者 Akash M

May 23, 2020

Basic knowledge of tools were to given for different analysis.

创建者 Brett R

May 26, 2019

Was glad to exposure to some of the different tools out there!

创建者 Deleted A

May 15, 2019

Good intro though a bit rushed. More hands on would be better.

创建者 Edgar L

Feb 11, 2019

Videos don´t match with the last version of IBM Watson Studio.

创建者 Nnanke W

Jul 25, 2022

great course but heavy on IBM software that is not necessary.

创建者 Ekkarit G

Apr 1, 2022

The screen practiced looks different from the study material.

创建者 Said E

Jun 10, 2021

Good introduction, but some of the information is very basic.

创建者 Apurv T

Jun 20, 2020

Overall is good but Data cleansing section is bit Fast though

创建者 Ruizhu J

Nov 13, 2019

very useful online and free open tools to help data analysis.

创建者 MARIA F B

Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

创建者 Natchapol T

Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

创建者 Juan P

May 18, 2019

This course explores the IBM data science lab in a brief way.

创建者 Mohsin S

May 10, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

创建者 Mahadev M

Jul 26, 2025

Good course for learning about useful tools for data science

创建者 Jana A

Mar 22, 2022

Very good course. I gain a basic understanding of the tools.

创建者 Michael C

Oct 9, 2020

Generally good. Some spots that could use more explanation.