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

4.5

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30,300 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....

4176 - Tools for Data Science 的 4200 个评论（共 4,972 个）

创建者 Harsh V

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May 6, 2022

In-depth videos about SPSS, Model Flows etc. felt over-whelming.

创建者 Mohammed A

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Apr 19, 2021

The author is talking too fast which also causing me a confusion

创建者 Huda

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Apr 18, 2020

This course needs to update some of it's material. Rest is good.

创建者 Gabriel D V

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Mar 30, 2020

It was a good course, but could be condensed and more the point.

创建者 Reyna

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Feb 16, 2020

Materials were not updated and it was confusing to follow along.

创建者 Carolina S L

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Feb 1, 2022

The explanations in this course are very superficial and fast.

创建者 Siddhartha S

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Apr 13, 2021

Most of the content was not learner friendly..still enjoyed it.

创建者 Christian R

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Jan 4, 2020

This feels poorly constructed and dated... Useful tools though!

创建者 María F C Q

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Jan 21, 2020

IT IS NECESSARY TO UPDATE THE VIDEOS ABOUT IBM WATSON STUDIO.

创建者 Marian G

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Jan 2, 2019

The amount of content is small and scratches only the surface.

创建者 Grace S

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Jun 21, 2022

I completed this course but it says "no certificate offered"?

创建者 Jesper S B R

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Jan 29, 2020

There is a big gap in difficulty from course 1 to this course

创建者 Kateryna K

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Feb 22, 2023

Watson Studio Material was badly made and seemed just messy

创建者 Alexandre A

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May 19, 2022

The material must be update to new version of Watson Studio

创建者 Sergio D

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Apr 18, 2022

Too much centered in IBM tools, and they are hard to handle

创建者 Ayush K

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Oct 19, 2019

Needs to be up to date as many bugs in course and practical

创建者 Andrew W

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Oct 7, 2019

Videos are out of date with the new interface of IBM Cloud.

创建者 Huan L

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Jun 26, 2019

A little bit too easy, but still, maybe good for beginners.

创建者 Adam L

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Mar 16, 2019

Outdated Material. But still good introduction to notebooks

创建者 Mia Z

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Feb 18, 2021

Some of the instructions are not clear enough or beginners

创建者 Deleted A

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Sep 17, 2020

I did not like that much the focus on IBM Watson Studio :/

创建者 Dz C

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Feb 17, 2020

Please update videos base on new updated of Wastion Studio

创建者 Rafael T

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Jan 15, 2020

Course should be updated to include new watson's interface

创建者 Gabriel G V

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Jan 10, 2020

need to learn programming first!

put a python course first!

创建者 Sergey M

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Dec 26, 2019

Course should be updated to be used with IBM Watson Studio

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

课程概述

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4176 - Tools for Data Science 的 4200 个评论（共 4,972 个）