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

4.5
30,122 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

BF

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

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.

筛选依据:

476 - Tools for Data Science 的 500 个评论(共 4,932 个)

创建者 Utkarsh D

Jan 29, 2020

i have learn so many thing like R studio,juypter and how to visulaize the data etc good course i have recommeneded so much for fresher

创建者 Dave S

Nov 24, 2019

Even though some of the course material is outdated, it forced me to figure things out on my own. I feel that is a better way to learn.

创建者 Simran P S

Jun 13, 2019

Really helpful course, it is really good if you're just starting out and want to get familiar with the tools you might be working with.

创建者 Wong C H A

Aug 10, 2025

A great introductory course to data science. It gives you hands on labs to practice the skills you learnt from the videos and readings

创建者 Fabrizio A S G

Jan 29, 2025

I learned a lot. I've heard about R and Jupyter before, and this course explains the fundamentals of both. The explanations are great.

创建者 Mailson

Nov 25, 2023

This is a really good course. Subjects are very concise and well taught. A lot of important subjects are covered here. I recommend it,

创建者 Eduardo R

Jun 13, 2022

Excelente curso, muy bien diseñado, el contenido es explicado de forma clara y concisa, los laboratorios son muy utiles y aplicables.

创建者 HarrisonLiang

Oct 18, 2020

Wonderful class!I learn the basics of a lot softwares and packages, hope that I can use them to deal with real problems in the future!

创建者 Hemchandra B

Sep 11, 2020

IBM and Coursera have done a great course here. In 4 weeks, I have learnt a lot of tools which prepares me for the data science field.

创建者 Haley T

Jan 3, 2019

Great course, I learned a lot about Open Source tools for Data Science! I will continue to use Watson Studio and Cognitive Class labs.

创建者 Linta M

Feb 21, 2020

This course is very good i experienced skills network lab and watson studio. How to use Rstudio zeppelin jupyter wonderful experience

创建者 Kristoffer H

Jan 30, 2019

Great course for people beginning to learn programming or veterans who just haven't used the various tools of the data science trade.

创建者 Mohamed T Z

Jul 27, 2023

As a beginner, lab exercises for Git, GitHub, Jupyter Notebook, and RStudio were designed perfectly and very easy to follow through.

创建者 Diego M

Jun 17, 2019

Nice course! Good overview of the tools available in market as well as the use of the IBM toolset for professional Data Science Use.

创建者 Metin M V

Feb 3, 2024

if you have zero knowledge about computer languages, that course is a perfect start to learning computer languages and data science

创建者 R.Gayathri D

Sep 17, 2023

The course was really nice. Great explanations and lab work. It would be great if there were a few explanations for the codes also.

创建者 Richard B

Jun 20, 2021

This is a rich course, worth your time and money. If you are looking to renewing your skillsets and yourself, then this is for you.

创建者 Ahmed A

Feb 4, 2021

Well designed. Contents and Labs are truly rich. I would highly recommend it for those who would like to quickly enter this domain.

创建者 Romulo T

Sep 14, 2020

Very good course to introduce us on tools we should use to do data science jobs, such as jupyter notebooks, r-studio and IBM tools.

创建者 Corneliu U

Nov 26, 2024

Very well thought and organized. I learned a lot of skills especially i like the lab setups and free access to IBM Cloud Data Pak.

创建者 Obinna O

Jul 24, 2020

A very nice course! Exposes one to the numerous resources out there to help make a data scientist's job easier and more efficient.

创建者 Manpreet S G

Feb 2, 2020

The Data Science experience change to Watson studio is great. However, the videos and instructions need to be updated for clarity.

创建者 Douglas F

Oct 4, 2019

Curso muito bem feito que apresenta de forma clara e direta ferramentas open source que auxiliam o trabalho do Cientista de Dados.

创建者 Uygar H

Mar 16, 2019

I really appreciate this introduction course, it introduces popular tools which a data scientist would use definitely..Thank you .

创建者 Matheus L T A

Jan 30, 2019

Great course to learn about open source online tools and the basics on what Data Scientists are using to develop their researches.