Chevron Left
返回到 Tools for Data Science

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

4.5
星
30,228 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

MM

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

筛选依据：

1451 - Tools for Data Science 的 1475 个评论（共 4,957 个）

创建者 Jesus P

•

Oct 2, 2020

I learned a lot about Tools for Data Science

创建者 sabelo y

•

Jul 23, 2020

This is a good And informative course indeed

创建者 ROSHAN J

•

Jun 28, 2020

this course is basically all about IBM tools

创建者 Balaji S

•

Apr 9, 2020

Very clear and simple to follow instructions

创建者 José C V M

•

Mar 23, 2020

Thank you for this opportunity, it was 10/10

创建者 Dharmendra K S

•

Aug 20, 2019

Informative and hands on experience on tools

创建者 Luis P

•

Aug 12, 2019

Me gusto, simple y contundente para iniciar.

创建者 Quinn C

•

Jun 10, 2019

Learn a lot here and expected to learn more.

创建者 farrukh k

•

Jan 13, 2019

very interactive and detailed for a beginner

创建者 Willson_Luo

•

Oct 31, 2018

It is very cool source. I love it very much.

创建者 Juan J G G

•

Oct 23, 2025

Te abre las puertas a seguir experimentando

创建者 shane m

•

Jan 21, 2025

Helped develop skills needed for job search

创建者 Paul O

•

Sep 14, 2022

A very good crash course for data science.

创建者 Deepak P

•

Sep 5, 2022

Wonderfullly designed very well done thanks

创建者 Henry T B Y

•

Jan 17, 2021

A great introduction to data science tools.

创建者 Nima J

•

Jan 5, 2021

It was great I learned about lots of stuff

创建者 Muhammad I A

•

Oct 23, 2020

Challenging as well as rewarding.Well done!

创建者 Julio R

•

Sep 13, 2020

Very interesting and well explained course.

创建者 Austyn M

•

Aug 14, 2020

Very clear notes. Very good demonstrations.

创建者 Akshay R

•

Jun 8, 2020

Gives a overall image of Data science tools

创建者 Jorge M B

•

Apr 10, 2020

Good overview of the tools for data science

创建者 Taracha M

•

Jan 30, 2020

Good info. Nothing deep. Anticipating more.

创建者 sk s a r

•

Jan 19, 2020

awesome course , thanks to Coursera and IBM

创建者 Jason P

•

Jan 18, 2020

I always learn a LOT with IBM and Coursera!

创建者 Rituraj S

•

Dec 6, 2019

Awesome course.. learned lot of new things.