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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,112 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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3626 - 3650 of 4,751 Reviews for Tools for Data Science

By Diego L

Apr 2, 2020

I got some problems with R Studio with https://labs.cognitiveclass.ai/ it stops several times so I decided to use the IDE with IBM cloud. The lesson was a little bit too much easy for me and a little bit boring maybe next time next time the course could use only tools present in IBM cloud.

By Clayton S

Feb 2, 2019

Very IBM centric but I guess you get that on an IBM course. However I was getting a few problems with some IBM sites until I upgraded my account (time outs/ errors etc) so I would suggest doing that using the free coupon - I think this issue is more prevalent in places outside the USA?

By Ted N

Oct 2, 2018

At the end of the course, what you need to remember is that "we have a very useful platform for data science that is IBM Watson Studio". However, because it is an enterprise software, its price is very high. So you should end up using something else or be restricted in its Lite version.

By David B

Jan 27, 2020

A little disappointed this module of the course was only really markdown and focused a lot on IBM's products rather than actual technical code. However, I understand that others taking this course are most likely very new to coding and data science, and need an introduction like this.

By Melissa K

Feb 24, 2019

Course content should be updated for IBM Watson. No point in having tutorials to show you where things are when it looks different in reality. Also, I think the videos assumed learners had a baseline knowledge and just glossed over things that would have been nice to learn more about.

By Nachanan

May 23, 2020

The content of the course is shown to be widely-known in the data science field as there are many discussions in the internet regarding this topic. However, the videos in this course are not up to date which cause many issues in practical side of the course and also the assignments.

By Attila K

Nov 11, 2019

1) The course itself is way too fluffy. It's more like a marketing brochure of the IBM services.

2) And it's not even a good one as the name of the systems have changed, the way they are operating has changed, and you can not even do some of the tasks by following the course anymore.

By Peter C

Jan 19, 2020

The course was excellent to introduce the tools you have promised us. However the narrator of Zeppelyn Notebook and RIDE videos was not engaging enough. It would be more efficent and engaging if you can introduce those two tools in the same manner as you did with Jupyter notebooks.

By Alvaro L V

Mar 11, 2020

The content and resources for learning are excellente. However, I had a lot of problems for signing in the IBM cloud and it is impossible to contact Coursera for help. At last I managed to have my account, after some hours lost, and some emails sent directly to IBM Cloud helpdesk.

By stefania s

Dec 5, 2019

the third week was very tiring. the use of Watson studio was not intuitive and the videos did not explain well what to do. I lost a lot of time creating a project because I had a different configuration than the one shown in the video. I had to enable options that were not default

By Gabija K

Dec 18, 2019

The information is really bad, because it contradicts the actual functionality from the website. The material need to be removed and corrected. Now it's a waste of money, as all course explains how to use specific tools, while providing incorrect view.

Peer assignment was nice.

By Takudzwa G

May 11, 2023

The layout of the course feels cumbersome. At the end there will be hundreds of topics only hinted on and not explained. The course content needs to be reviewed for reduction. This could be a specialization on its own. However it does the job of introducing data science tools.

By Herbert P

Mar 10, 2020

The general outline of the course is very interesting. However, the content is getting old. Furthermore, there were technical issues on the IBM cloud that blocked many people (including me) to finalize the course. I spend 30% of my time trying to solve technical issues.

By Muhammad I H R

Apr 28, 2020

The course is fantastic with simple explanation and good tips. However the videos are showing an outdated IBM Watson Studio interface which makes it confusing for beginners to follow. Please do upload a new training video with the updated IBM Watson Studio interface

By Max A T

Jan 27, 2020

Lots of good information, but much of it is outdated. The names of these programs have changed. Also, the ordering of the videos seems awkward, like they don't frontload the information in the right order, so that you're filling in pieces between and after lessons.

By Angela W

Jan 28, 2020

The course videos need updating. I, and other students, have wasted a lot of time trying to follow the out of date materials, not to mention the confusion and frustration that it creates. If the materials were kept up to date, I would have left a five-star review.

By Oishika K

Jun 18, 2023

The R programming ungraded practice set needs more explanation of the codes and process, specially pertaining to plotting. It is difficult for a beginner to understand the pre given codes without proper explanation of what the plotting code is executing exactly.

By 이정아

May 17, 2023

too much seperated and shallow information about tools. may be good for someone who wants general ideas about tools, but just to sparse info in my opinion. maybe concentrate on one tool and guide to use it properly would be better. really hard to finish this one

By Karen M

Dec 18, 2019

First two weeks were to the point and good introductions to Jupyter Notebook and Zeppelin, but the third week tutorial on IBM Data Experience is so out of date as to be useless for being able to set up a new project and complete the assignment. Very frustrating.

By Sangeeta D

Oct 3, 2021

Jupyter Notebook module was explained well however other tools like SPSS Modeler were a little difficult to understand for me. While explaining some of the examples in Watson Studio, it main objective / problem of the project wasn't explained in the beginning.

By Laila

Jul 15, 2020

The first two weeks of the course are poorly explained and don't have regard for total beginners. It gets really disappointing in week 2 where the quality of the videos and the structure of the lecturer is really poor. However, weeks 3 and 4 things get better.

By Reinhard H J

Oct 4, 2019

It's comprehensive enough, but should include more exercises for programming. I don't think it was necessarily the right decision to make this course come before programming, but it should accompany programming. It was alright with respect to content, however.

By Amy M

Dec 3, 2019

The videos and instructions on this class were terribly outdated. Despite the warning provided at the beginning that the videos were out of date, this is still unacceptable. It takes very little time to make a video of the quality and length in these courses.

By Haughington

Aug 31, 2023

you will learn about some of the tools you will need to use, but they really need to have someone proofread and test these courses. in many ways it felt very sloppy. random lines being repeated unnecessarily, poor rubrics for the peer graded assignments, etc

By Evgeniy G P

Jan 17, 2022

Terrible experience with the IBM Cloud platform. An account is needed in order to achieve the final assignment.

At first they deactivated my account without any reason. Then, due to an error on their side, I had to spent 2 days in order to create a new one.