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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,245 ratings

About the Course

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....

Top reviews

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.

MO

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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3551 - 3575 of 4,608 Reviews for Tools for Data Science

By Michael P

Nov 7, 2018

The instructor could do a better job clearly explaining the topic and/or material, showing a step-by-step 'how-to' on tasks, and testing on what he teaches. There were instances where the quiz questions were not covered by his videos.

By Luis O L E F

Oct 28, 2019

In general the contents of the course are good, however, I thinkg that there's too much time waisted in promoting IBM products rather than actually teaching some more introductory things about all the tools mentioned in the course.

By Joachim A

Jan 28, 2019

Hi,

while it was good learning about the tools and platforms that exist, I was a little confused by the IBM Watson Platform that did not function that well. That was not the best experience, so I hope the creators can address that !

By salman k

Jul 4, 2021

a large amount of tools which I think are not that necessary has been packed in this course . So it make learning a bit confusing to the learners as which tools are the best . Please remove the extra material which isn't necessary

By Manuel S S

Jan 21, 2019

Good course to understand the tool set and learn basics. However, the site used in the course is now updated which made navigation very difficult. It would serve the student to update these videos and make the most of their time.

By Florent M

May 7, 2019

Les première semaines sont pertinentes. Le IMB Watson Studio est très désagréable à utilisé. Le fait qu'IBM soit à l'origine du cours impacte très négativement la pertinence des informations et l'utilité que l'on pourra en tirer

By Raul O

Mar 15, 2020

They information in the course is generally very useful as well as the tools introduced. However, some of the videos need to be updated to match the latest version of IBM Watson Studio and specific guidance should be provided.

By Nitin R

Nov 25, 2019

Very informative course but the instructor should update the videos related to the IBM Watson studio there is a lot of confusion as the video which are available shows the earlier version and currently the version is changed.

By Swapnil J

May 22, 2022

There is a lot of unnecessary complicated things being explained about the Watson Studio during Week 3 and Week 4. That really needs to be toned down, as it is really difficult for a beginner to understand what is going on.

By Jiayang Z

Feb 5, 2019

It's like a huge advertisement class for IBM. I want to learn some really skills and theory, not how to sign up for a IBM account, which is so complicated, almost took me half hour to figure out how to sign up this account.

By Alexandra H

Dec 25, 2020

The lab videos showed an out-of-date version of Watson Studio and following along with the instructor during the Github portion of this course was very difficult. I had to go to outside resources to understand the program.

By Gregory M

Mar 25, 2022

This course gave us a good introduction to Jupyter, but the rest of it felt like an IBM infomercial to advertise their products. Not sure I will be continuing with this certification if the next course has a similar tone.

By Tom H

May 11, 2020

The content of this course was quite good, i enjoyed large parts of it. However, there were quite major problems with accessing different areas of IBM Watson that weren't intuitive enough and weren't signposted very well.

By Li S

Feb 28, 2023

The course content is great.

The peer review part is not reasonable. The marking scheme is not totally matched for the assignment requirement and when other peers give biased grades, it is unfair to those students then.

By Santhosh V

Feb 11, 2021

A course that specifically focusses on IBM products. Somehow i was able to navigate with the interface but sure it could have been better. But understandable, its part of certificate and that the course is from IBM.

By Iuliia K

Aug 6, 2022

Would be great to have practical examples of different tools used, Week 1 has surface overview over different tools, but does not show how they look. So it is difficult to remember what each of them is used for.

By Thomas F

Sep 28, 2019

Not a bad course if the student is brand new to data science / computer science / programming.

I felt I could have easiliy skipped this excepting that accounts needed to be set out for other course dependencies.

By Stamatios G

Mar 17, 2020

Although the core material is very interesting and well-explained, the fact that many of the tools needed in week 1 and 2, is making this course pretty frustrating if you don't know how to overcome this issues.

By Aowuu

Oct 26, 2018

The course are good, but in China I can't get connected to IBM Watson Studio, even creating a normal account because I can't click my account [confirm] link.

What a pity to give up my whole certificate for that.

By Ahmed A

Dec 29, 2021

Modules 2 and 3 were a little bit confusing as they were showing feature for different programs, but most of details and concepts are to be explained later in this course which made some lessons hard to digest

By Julia M

Feb 6, 2020

I think that this course needs to be re-engineered. The videos are outdated and the videos jump right into the programming without explaining why you are typing out this code. It is not a course for beginners.

By Nanthakumar N

Jun 23, 2019

This course needs update. The current IBM environment and Tutorial examples are not matching and confusing. It also leads to crate multiple account with IBM.

Otherwise good intro to the tools and environments.

By Felipe J

Feb 4, 2019

Interesante porque dan un panorama general acerca de Jupyter, compilación y lenguajes que soporta como Phyton y R. Al ser un curso ofrecido por IBM la herramienta para las tareas es de ellos, Watson Analytics.

By David H

Mar 29, 2020

A good overview of the various open source tools available. The videos, however, did not always match the material which made it confusing here and there. I am aware they are currently working on fixing this.

By Mitchell L

Aug 24, 2020

this course had a lot of items that I did not feel were beginner level. Most of the labs involved some coding, or language that was not discussed prior to the labs. I felt lost multiple times in this course.