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

4.5
25,766 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

ED

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

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:

3751 - Tools for Data Science 的 3775 个评论(共 4,179 个)

创建者 Amir H

May 2, 2019

the course is not up to date with the latest interfaces of the open tools sites, causing a lot of confusion and need to wait for an instructor/mentor to reply in the forum section.

创建者 Saloni S

Feb 18, 2022

Some of the labs were not updated so it was a bit frustating to follow. Also, I would have preferred that the videos shown on data analysis and Watson Studio Knowledge had labs.

创建者 Fábio S V

May 2, 2019

The courses "What is Data Science" and "Open Source tools for Data Science" could be merged in one, there would be a better explanation about the tools available from IBM....

创建者 Sarah W

Oct 26, 2020

Too much straight forward fact, on fact with list on list (hard to stay awake and focused on this because there wasn't anything to break up the facts or the list of tools).

创建者 Amandine B

Aug 25, 2020

Some useful explanation of how to use Jupyther/Github/R but also lots of time wasted on presenting, over and over, IBM's tools and some very poor quality videos for Github.

创建者 Edward J

Aug 11, 2020

Week 2 was very poorly explained. I did enjoy looking at the IBM tools but there was far too much in such a short space of time - too much video made it less pleasurable.

创建者 Daniel T F

May 15, 2019

The whole content of the course is very basic and online scratching on the surface. It could easily be integrated in another course and though could be more constructiv.

创建者 Kevin N

Mar 17, 2020

I give this course a 2. It was so difficult to sign into IBM Cloud. I got repeated error messages. The tool seems to have a lot of bugs and makes learning frustrating.

创建者 Michael S

Jan 2, 2023

Videos totally outdated for the Watson environments.

Too much emphasis is put on the IBM tools, which are very complicated and have no value for learners in the field.

创建者 Gerard J

Jul 1, 2021

This unit should really be optional. Understanding the fundamental principles and tools of Data Science is one thing, shoving IBM products down our throats is another

创建者 Sujith K S

Sep 16, 2020

Rushed through course explaining too many things without proper background knowledge. One section was advertisement for IBM tools which most of us probably won't use.

创建者 Truong G

Jan 21, 2020

To me, this is just a presentation of online tools on cloud data storage. There should be more practical exercises from easy to hard to get used to with these tools.

创建者 Francesco C

Nov 25, 2021

The course was heavily focused on IBM tools but the depth of the lessons were just enough as a marketing presentation. Really few important topics were presented.

创建者 Juan J L M

Mar 18, 2020

The course is not updated with all the tools and people spend a lot of time trying to see how the tools work.

Think more application exercise should be available

创建者 Luis P R

Apr 3, 2020

A few problems with IBM Developer Skills Network, specifically the Manage Data Tool and the Zeppelin Tool. Nevertheless, it was a good and interesting course

创建者 Elizabeth C V

Aug 25, 2020

The course explanations and classes were poorly structured and took 10 times more time for me to understand the concepts. I give a low rate for this course

创建者 Umair A

Dec 19, 2018

A lot of time, very little learnt. Two courses and only thing learnt was definition of Data Science and creating accounts. I hope this is going some where.

创建者 François M

Jul 28, 2020

Too much IBM-centric, lots of problems encountered with IBM studio/cloud installation.

Good point: Professors are very responsive to problems of students.

创建者 Javier F S

Oct 14, 2020

Too much information about the different tools that can be used in Data Science. Very broad and at the end, I just learned a bit about Jupyter Notebooks

创建者 Omar K

Jan 11, 2020

IBM Cloud is truly a mess, full of bugs and nothing works as expected which made it much more difficult to complete the course than it should have been.

创建者 Yulia L J

Jul 4, 2020

Videos are super low quality. I understand that this is an IBM course, but don't really want to learn in details their Watson Studio, that nobody uses.

创建者 B D

Jun 13, 2019

Course about Watson Studio is outdated. Students wasted time on project because of this. Since students are paying for the course, it is unacceptable.

创建者 Daniel B

Mar 15, 2021

It seems to be one big ad for IBM products, and I did not find anything very useful. It seems a bit like losing time than learning anything useful.

创建者 Leanne O

Jun 22, 2020

This course is not structured well and not great for beginners. You are introduced to a lot of tools without much context or actual instruction.

创建者 Yinlu D

Dec 14, 2019

Have wasted quite some time in searching back and forth for the updated features on Jupyter Notebook due to part of the outdated course content.