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

4.5
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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：

1301 - Tools for Data Science 的 1325 个评论（共 4,957 个）

创建者 ROUNAK

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Apr 3, 2020

It was nice to know and learn these open source tools

创建者 Tanweer A

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Mar 30, 2020

Gives overview of tools required and how to use them.

创建者 Hiren P

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Dec 11, 2019

Awesome course for beginner and intermediate learner.

创建者 Ajay M

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Nov 20, 2019

I can't believe i created my first Jupyter Note book

创建者 Mingyang H

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Oct 17, 2019

Good class to know the basic tools for data scientist

创建者 Sheryl S

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Sep 19, 2019

Excellent synopsis, very clear and easy to understand

创建者 Aflus A

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Jun 23, 2019

Nice brief overview of ibm opensource tools available

创建者 dinesh p

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Jun 20, 2019

We need some more practice course on Jypter notebook.

创建者 NAVAKANTH B

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Apr 13, 2019

content was well designed and very promising to learn

创建者 Muhammed N

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Mar 5, 2023

this course is good to understand data science tools

创建者 Neelash M

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Mar 1, 2023

Extremely good informative content and presentations

创建者 Christopher W E

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Oct 13, 2021

great presentation of tools needed for data science

创建者 balkrushna n

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Jul 10, 2021

this gives really good idea about Data science tools

创建者 Adil A

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Feb 27, 2021

Amazing explanation and awareness of different tools

创建者 Monica V

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Oct 19, 2020

Great intro course to various data science programs.

创建者 RAVI J

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Aug 28, 2020

it very interesting learn into tools of data science

创建者 Aldy P

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May 12, 2020

I learnt a lot from this course, Thank You Coursera!

创建者 Samuel K R

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May 8, 2020

Great Introduction to data Science Open Source tools

创建者 Bhanu P

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Apr 7, 2020

This is the best persuasive course I have ever taken

创建者 Richard D S

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Jan 27, 2020

Very good platform to learn Python, R, Jupyter, etc.

创建者 Thibaut S

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Jun 9, 2019

Thanks you for your lessons based on watson studio!

创建者 Mulatu L

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Feb 14, 2025

It was so amazing lecture and pratices. I did it!!!

创建者 Elías A

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Jun 18, 2024

lear how to use Jupyter Notebook, Github and Python

创建者 Alejandro M

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Feb 27, 2024

I learned a lot in this course I hope to learn more