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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

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

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:

3126 - Tools for Data Science 的 3150 个评论(共 4,955 个)

创建者 Jiannina P

Mar 18, 2024

It was a good overview of the different libraries, packages and other tools used in data science.

创建者 Samuel O N

Aug 11, 2022

Help me a lot to learn different tools that exist to help datascientis to easy get the job done.

创建者 Taiane M B

Feb 25, 2022

It could have much more of pratical exercises, it was at certain points very teorical and tiring.

创建者 Frugier E

May 7, 2020

Good overview of the main tool. Jupyter Lab is particularly well covered. It is getting exciting.

创建者 Zuhal D

Jan 9, 2020

this course useful but some photos, interfaces tools old. I think interfaces of tools can update.

创建者 Riccardo C

Nov 28, 2019

Clear and substantively approachable. Hoping in further data analysis models in the next courses.

创建者 Christopher D K

Aug 28, 2019

Actually, It is a great study material, but there are some video that repeat the previous lesson.

创建者 Ana C T M

Feb 17, 2019

There has been some issues accessing the tools used on this course, but overall it was very good.

创建者 Dipakkumar B

Feb 13, 2021

This course is really great for a beginner who wants to develop their a career in Data Science..

创建者 Francesca, M S

May 30, 2020

I had some difficulty to use IBM watson studio the first time. The video lessons are not updated

创建者 Wai L

Mar 29, 2020

Really easy to follow along until Week 3 when the videos were all out of date. -1 star for that.

创建者 Brijesh K

Jul 10, 2019

good basics concepts which can be useful to applied on future perspective data science projects.

创建者 Chinwe N

Mar 8, 2019

IBM account instructions should be updated - took a long time to figure out how to set things up

创建者 Christian O

Dec 18, 2025

Excelente curso con comandos e información actualizada, debería tener laboratorios interactivos

创建者 Muqqadam T

Aug 11, 2024

Was great But Should Be More Focused On Practical Work Rather Than Theory Overall Was Great Exp

创建者 thippeswamy m

Apr 17, 2024

It is really good learning experience, it covers necessary tools required for Data Engineering.

创建者 Farizal J

Jan 11, 2019

It needs to be more challenging but happy to be introduced to various helpful tools nonetheless

创建者 Michael M

Mar 29, 2021

Great course it will surely activate your interest in data science as well of learning coding.

创建者 ashish k b

May 14, 2020

It is good Course for understanding data Science open source tools and practical use of tools.

创建者 Andrei B

Jan 17, 2020

Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.

创建者 renaud A

Aug 22, 2019

Un cours vraiment tres interressant

j'ai beaucoup apris sur Jupiter Notebook, Rstudio, Zippelin

创建者 raviteja g

May 27, 2019

A very brief overview of all the open source tools required for Data Science. Well structured.

创建者 R V

Aug 14, 2023

Good course, better clustering of similar topics would have improved the learning experience.

创建者 Michael S

May 10, 2021

There was too much video content for the variety of tools. The content, however, is thorough.

创建者 Mauro V

Jul 14, 2019

Course is not updated to the IBM Watson Studio interface. Good material and exercises though.