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

4.5
30,225 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.

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

筛选依据:

2951 - Tools for Data Science 的 2975 个评论(共 4,955 个)

创建者 Princess M E

Feb 8, 2020

IBM Watson has had many changes. The videos in this course when tackling this project does not match with the current IBM @Watson studio setting.

创建者 Simon M

Jan 13, 2020

I love the source but I hope in the future it wil get more in dept. For a compleet novis like me it's not always as obvious as they make it seem.

创建者 Monica S

Sep 4, 2018

I wish there were more labs and more elaboration as to how to connect these tools to daily activities or useful things to broaden understanding.

创建者 Jorge S

May 15, 2019

Curso interessante e globalmente bem estruturado, com detalhes suficientes para a iniciação nas ferramentas open source que foram apresentadas.

创建者 José A M

Jan 9, 2021

The content used to explain superficially IBM tools (who needs deeper and focused content for each one) could be replaced for more basis info.

创建者 Phil C

Sep 21, 2020

Covered lots of ground. As someone without a CS background it was great to learn more about the tools and terms that are common in this field.

创建者 Nhật M P

Mar 20, 2020

The course's contents are not updated to the changes of tools. I got some bad experience in this course and I had to deal with them by myself.

创建者 Zhaoran Z

Jan 18, 2021

I really like this course and I think I have learned a lot. However, I don't like the peer-view system, because I have received unfair grade.

创建者 Jeffrey B M

Mar 22, 2024

The IBM Watson module is badly out of date with the Watson website. Also I had a lot of trouble with the code to get a free Watson account.

创建者 Nestor C

Sep 25, 2022

The course gives a general description of data science tools, however, I expected the course to be more hands-on; it is a beginner course.

创建者 Nikolay R K

Dec 26, 2020

Too much promotion of IBM Watson. The third week is very optional and uninteresting, and it is also not connected with the final assignment.

创建者 Roberta B

Mar 25, 2020

The course is good but it would be great if the nomenclature of the cloud-based applications would match the current version of the toolkit!

创建者 Anant S

Feb 28, 2020

Good introductory course but gives a very brief introduction about the tools. You don't really gain much skills after completing the course.

创建者 Meltem G K

Sep 11, 2019

the videos are a bit outdated, can be confusing! but the course gives a good overview of the tools & enables to get familiar, good exercise

创建者 Ji C M

Dec 30, 2018

Video lecture is something different with current IBM Watson Studio.

Please update contents with recent version of tools and configurations.

创建者 mujtaba h

Oct 4, 2022

This course provides a lot of information to get you started, but not much hand-on work. Also, the videos are outdated by a couple years.

创建者 Taja T

Feb 25, 2021

Too much theory, but practical exercises are easy. When telling about different software, it's very hard to remember all this information.

创建者 Aditya M

Nov 12, 2020

In my opinion the first three courses of the IBM Data Science professional certificate can be neatly combined into an Introductory course.

创建者 V.Xiao

Aug 13, 2019

Great introduction to popular open source tools for data science. A great way to get started on the journey of becoming a data scientist.

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创建者 Varun M

Jun 17, 2023

It's a good course, that helps you understand data science tools, I highly recommend it if you are just getting started with data science

创建者 Shravani C

Dec 22, 2022

The content is vast compared to the 1st course but if you have enough patience then you will enjoy this course and learn a lot from this.

创建者 Gbolahan F

Sep 12, 2021

This is the best course I have ever taken that explains the tool kits of a data scientist. Great thanks to the tutors, IBM and Coursera.

创建者 Stacey N

Oct 13, 2020

Some prior knowledge of programming is helpful for this course. Either that, or learn how to research for the information that you need.

创建者 Devesh K

Feb 21, 2020

Seemed more like marketing the IBM Watson studio rather than listing and explaining open source tools, but it is indeed a good product !

创建者 Juan G

Feb 19, 2020

just please update the videos as per the former Data Science Experience to avoid confusion for us noobies. The rest, just great! Thanks!