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

4.5
30,214 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

RR

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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:

1076 - Tools for Data Science 的 1100 个评论(共 4,953 个)

创建者 Harpreet S

Jul 22, 2021

Very Good course for understanding of all tools of Data Science.

创建者 Khusan T

Feb 22, 2021

Thank you! Course give the demanding skills in a modern hr-market.

创建者 Azajul I N

Dec 23, 2020

WOW. I really enjoyed this course. Highly recommended. Keep it up.

创建者 Douglas C

Aug 14, 2020

Really thorough introduction to open source tools for Data science

创建者 Thushani

Jul 24, 2020

Excellent content with easy-to-follow instructions and lab guides.

创建者 Towhidul I

Jul 12, 2020

Learned lots of new things about Data Science tools. Thanks a lot!

创建者 Salman H

Jun 16, 2020

An excellent course for new learners in the field of Data Science.

创建者 Leandro M T

May 11, 2020

Buy the promised, very good course.

We learned about various tools

创建者 Yutaka R

Apr 30, 2020

The material very detail and newbie can learn it without pressure.

创建者 ALABE L W

Mar 30, 2020

Thank you IBM the course is well structure and self understanding.

创建者 Temitope K

Mar 5, 2020

It was tough at the beginning....but at the end it became clearer!

创建者 shubhal p

Feb 18, 2020

Good teaching of

Open Source tools for Data Science

Keep it up...

创建者 Fahad A

Oct 22, 2019

As a beginning in using some tools of Data Science, it is perfect.

创建者 Vijay N

Jul 18, 2019

Very interactive course to learn the tools and get familiar with .

创建者 Pappu R M

Jul 5, 2019

Great course give overview of Open sources tools like Data Science

创建者 Joao C M

May 8, 2019

Broader view of the tools to support the data scientist activities

创建者 Bakyt N

Jan 22, 2019

Very good introduction to various tools with emphasis on IBM tools

创建者 TY_A_28_YASH_KAGADE

Feb 6, 2025

excellent but a human instructor would have been a great addition

创建者 Melvin S

Feb 3, 2025

Excelente para dar una vista global de las herramientas empleadas

创建者 Rajakumari R

Aug 17, 2023

The course Tools for Data Science is very useful and informative

创建者 Dr. N G

Apr 6, 2023

A great source of learning about data science tools and languages

创建者 Jose R

Jun 14, 2022

I liked it, but I should've believe it was really for beginners!

创建者 Sovan S

Jan 14, 2022

The course is excellent to understand the basics of Data Science.

创建者 Tan C K

Sep 8, 2021

Superb! I started to have an overview of Data Science. Thank you!

创建者 OMPRAKASH V

Aug 22, 2020

This is good course for data science. I learned from this course.