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
30,180 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：

4226 - Tools for Data Science 的 4250 个评论（共 4,952 个）

创建者 Kundan K

•

May 24, 2019

Learned very few things in three weeks time.

创建者 Xin Y L

•

Oct 10, 2021

More on Hands-on assignment please. Thanks.

创建者 Tetiana C

•

Jan 20, 2020

The videos in the course have to be updated

创建者 Leonardo A R P

•

Sep 26, 2019

It's way too simple, but it's good though.

创建者 Jiayi S

•

Apr 5, 2019

The tutorial for Week3 should be updated!!

创建者 Usman A

•

Aug 22, 2023

Course is very lengthy and time consuming

创建者 Syed Q R Z

•

Apr 7, 2020

Outdated videos had to take external help

创建者 Marcela A C B

•

Jul 30, 2021

It is okay, but sometimes it gets boring

创建者 Kelly W

•

Jan 15, 2021

The instructions did not seem very good.

创建者 Brenda G M e

•

Mar 5, 2020

It is a lot of trouble to use IBM studio

创建者 Kriel T K

•

Mar 26, 2020

The tutorial videos need to be updated.

创建者 Mariana S S

•

Jun 12, 2021

Too much obsession with IBM Data tools

创建者 Sanket p

•

Dec 9, 2019

Just some basic knowledge is provided.

创建者 Shubham K

•

Jun 6, 2020

Should contain more reading material.

创建者 Ozlem E

•

Oct 20, 2020

The sound quality is not consistent.

创建者 Touffail A

•

Sep 29, 2019

Manque des tests en images pas à pas

创建者 Pejwak K

•

Dec 8, 2022

This course can be greatly improved

创建者 dave d

•

Mar 25, 2022

Too Much Information For a beginner

创建者 Hao W

•

Dec 11, 2019

The course materials are out-dated.

创建者 Zhu T

•

Nov 19, 2018

poor experience in using IBM Watson

创建者 M.Ignatius A J

•

Feb 6, 2025

this course gave me good knowledge

创建者 Jesus G

•

Nov 30, 2024

Not a lot of hands down exercises.

创建者 Ahmed B

•

Dec 6, 2019

superficial and need more in depth

创建者 Chetan W

•

Oct 7, 2024

Too much tools , hard to remember

创建者 Sébastien F

•

May 10, 2022

Too much commercial tools talking