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

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30,232 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

AA

Jul 26, 2023

The skill share network has a problem that it does not work at all there must be a tutorial course for using it before the actual course startbut aside from that ... the course is perfect for me

FD

Nov 17, 2020

Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

筛选依据：

1276 - Tools for Data Science 的 1300 个评论（共 4,957 个）

创建者 Sérgio L

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Apr 21, 2019

Excellent! Very didatic even for one who's quite dummy.

创建者 Patxi G

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Mar 1, 2019

Excellent overview of the data science tools landscape.

创建者 lee a

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Nov 16, 2018

good (gentle) introduction into IBM Watson environment.

创建者 Fakhrul U

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Apr 28, 2025

I'm very happy with this course, good contents of Labs

创建者 Amit C

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Sep 21, 2023

Good for beginners, needs more clarity in assignments.

创建者 KANITHI S S

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Jan 5, 2023

DEFINING OF DATA SCIENCE TOOLS EXPLAINED VERY CLEARLY

创建者 A. G

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Jan 5, 2022

all the time thinking about need more practis quiests

创建者 Sahand M F

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Nov 3, 2020

another wonderful course from IBM. Thanks you so much.

创建者 Liza V

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Mar 24, 2020

This is a great course, very detailed and interesting.

创建者 Krešimir S

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Mar 3, 2020

Great course as an introduction to Data science tools!

创建者 Harsh S

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Feb 2, 2020

Wonderfully Designed Course in the field Data Science.

创建者 Luis M

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Dec 12, 2019

Great introduction to the various resources available.

创建者 Nadya O

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Nov 1, 2019

Well organized and easy to follow all the instructions

创建者 MANUJAKSHI B C

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Jul 10, 2019

course really helped me in learning Data science tool.

创建者 Ankit J

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Jul 2, 2019

Great overview and hands on of the Data Science tools.

创建者 Paulo R R

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Mar 6, 2019

Excellent presentation and exercises! Very complete!!!

创建者 Roman S

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Mar 2, 2019

A great course with simple but useful practical tasks.

创建者 Mohitkumar R

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Oct 18, 2018

Great. Lots of new tools info are provided. Great work

创建者 Joe

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Oct 2, 2023

Excellent Overview of Data Science Concepts and tools

创建者 Praveen D

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Jun 13, 2023

theory has been very elaborative and understandable ,

创建者 Christine A

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May 13, 2023

It's a hard course but a fulfilling one once finished

创建者 Hassane D

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Aug 23, 2022

Hard course with rich knowledge and hand-on practice!

创建者 Ignacio G

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Jun 16, 2021

Muy interesante. Una buena introducción a la materia.

创建者 NEHA S

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Nov 2, 2020

Learned IBM tools introduction and about Jupyter Labs

创建者 Rivers L

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May 18, 2020

Great introduction to various tools for Data Science!