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

4.5
30,211 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

RR

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

AA

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

筛选依据:

4151 - Tools for Data Science 的 4175 个评论(共 4,952 个)

创建者 Anthony L

Dec 19, 2018

This course is good but, lacking a proper introduction to the tools.

创建者 Ayush S

Jun 23, 2024

very short videos with to much information without deep explanation

创建者 Perdamen S

Jan 27, 2023

some of the hands on practice or lab on Watson Studion cant be done

创建者 Alexander I

May 11, 2023

I found this course very broad and not focused. It is very rushed.

创建者 Hong Z

Nov 1, 2018

IBM Waston Studio is sucks. I can't log in with the cloud account.

创建者 Guy L

Jan 11, 2020

I like the subject , but so much of the material was out of date.

创建者 Harsh V

May 6, 2022

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

创建者 Mohammed A

Apr 19, 2021

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

创建者 Huda

Apr 18, 2020

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

创建者 Gabriel D V

Mar 30, 2020

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

创建者 Reyna

Feb 16, 2020

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

创建者 Carolina S L

Feb 1, 2022

The explanations in this course are very superficial and fast.

创建者 Siddhartha S

Apr 13, 2021

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

创建者 Christian R

Jan 4, 2020

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

创建者 María F C Q

Jan 21, 2020

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

创建者 Marian G

Jan 2, 2019

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

创建者 Grace S

Jun 21, 2022

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

创建者 Jesper S B R

Jan 29, 2020

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

创建者 Kateryna K

Feb 22, 2023

Watson Studio Material was badly made and seemed just messy

创建者 Alexandre A

May 19, 2022

The material must be update to new version of Watson Studio

创建者 Sergio D

Apr 18, 2022

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

创建者 Ayush K

Oct 19, 2019

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

创建者 Andrew W

Oct 7, 2019

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

创建者 Huan L

Jun 26, 2019

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

创建者 Adam L

Mar 16, 2019

Outdated Material. But still good introduction to notebooks