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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,164 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

DE

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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4551 - 4575 of 4,762 Reviews for Tools for Data Science

By Debbie-Ann J

Apr 9, 2020

The videos shown are obsolete and learners are having diffi ulty completingg dinal assignment because of this...IBM cloud is impossible to use....so stressfull especially because there is no one to talk to about this....you r basically on your own

By Kirsten T

Nov 10, 2021

This course made me feel as though this whole certification process is just an advertisement for IBM tools, and not a series of classes intended to teach skills in data science. This course taught me a lot about IBM products - and not much else.

By Thabo

Jul 20, 2020

The labs were very poorly explained, with limited explanations and no clarity on the purposes for the lines of code. I struggled to instal and use most of the software because the instructions were not clear enough. I was extremely disappointed.

By aliemir s

Feb 10, 2020

The course links are outdated, course provided online tools doesn't work properly i could not even access the lab environments mentioned in the course since there was issues with the website i simply cannot recommend the course based on that.

By Luie J

Nov 11, 2020

Really bad and useless course.

At this point I know nothing about data (it's only the 2nd course in the specialization), so how can I understand anything about the tools and their advantages, given I still don't know what the challenges are?

By Rachel B

Aug 14, 2024

This is a terrible course. Every sentence is loaded with information making it impossible to digest. I should not be highlighting every sentence of every paragraph of every module. If word salad and word vomit wrote a course it's this one.

By Swapnil J

Apr 6, 2020

Zepplin notebooks were not accessible.

RStudio was accessible sometimes.

TUtorial on watson studio was very different from the actual interface of watson studio.

The course is actually not updated along with the watson studio and other tools.

By Ivan B

May 23, 2020

Google Simulating Environment has the bugs and when you writing to Support, this rich guys stat you to do a free "PROD" testing : no way, it's theirs bugs, and I have my own. What the hell are paid for?

Shame on YOU IBM for such solution!

By Tong D

Mar 17, 2022

70% of the content is useless in this module because it is just about IBM promoting their least popular and terrible user-experienced IBM cloud service. Believe it or not, IBM cloud gonna be one of the worst platform that you will try.

By Guy B E

Sep 10, 2020

I thought that the course was premature. It would be nice to learn about the tools after some background in data science and than I would get actual experience with those tools. But unfourtunatly at this stage I think it was premature.

By Karen S

Mar 4, 2023

There are inconsistencies in the Module 4 assignment (what is written in the instructions vs what is in the submission section) which creates a waste of time, increases frustration and leaves me questioning the quality of the course.

By Siddhartha P

Apr 20, 2019

Very outdated course. Atleast they could have updated the videos to match with entirely new layout of IBM Watson Studios or Cognitive Class Lab. Even the information provided was very minimal with proper background or context to them

By Thuy D V

Sep 19, 2019

Many video contents are out of date which making confusions to learner, i.e. Data Science Experience now change to IBM Watson Studio, but they do not update the video contents accordingly. It then very hard for learner to follow.

By leonardo c

Dec 6, 2021

IBM should be ashamed of issuing such a patchy-mess up and chaotic material using its brand. Google data analytics course is way better in case you want to actually learn at leas something regarding data analysis / data science.

By Belinda N

Feb 25, 2022

The goal posts were changing as the course progressed. I could move no further after I was asked for my credit card details to access the IBM Watson Studio. I think IBM should rethink this course to make it more user friendly.

By Steve O

Oct 30, 2018

The content was okay but there were a lot of technical support problems. Apparently the IBM cloud infrastructure is in transition. Also, as the course admits, some of the videos use old terminology. This just needs to be fixed.

By Marielle B

Apr 19, 2022

Not very interesting to get so much theoretical information about all the existing software and tools out there. I would rather first learn some pratical skills and learn about new software/tools step by step when I need them.

By floseta c

May 22, 2023

This module was poorly written, confusing and lacking in any logical stucture. it was as if key pieces of information were omitted. There is no excuse for the number of typos contained in this module. Please do better.

By Albert H

Nov 24, 2022

IBM have blocked me from creating an account for an unknown reason. This was of course after they took 2 lots of card details from me. This means the course cannot be completed. Rip-off. do not sign up for any IBM courses!

By R.Z. C

Mar 12, 2020

It seems that the real purpose of this course is to promote IBM's merchandise, not propagate knowledge. Because of this, there is lot of 'What is the different between ordinary XXX and IBM-provided XXX" kind of junk in it.

By Elvijs M

Apr 17, 2020

Useless course as far as familiarizing oneself with data science tools. It's simply a promotion of IBM's proprietary platform. And owing to the frequent technical problems and outdated instructions it fails even at that!

By Sudha N

Jan 30, 2019

Trying to create a Jupyter notebook in IBM Watson for two days now as asked by the final assignment. The interface in the video is outdated and I'm really confused about how to create this simple assignment in Watson.

By Zachary C

Sep 8, 2018

Course videos are out of date. The entire third week is dedicated to IBM Data Science Experience, which has been removed and replaced by IBM Watson Studio. Not much point to a walkthrough when you can't follow along.

By Infinitas F

Dec 15, 2021

Couldn't complete the course because of the troubles with IBM Account, that I have to create to do labs.

Tried a lot but nothing has worked.

I don't understand why students just can't use some opensource instead...

By Santiago B S

Apr 5, 2019

This course is not about tools for Data Science and how to use it, but about two services provided by IBM which have, among others, some tools used for data science (not explained in depth, but asked for, here)