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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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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3526 - 3550 of 4,596 Reviews for Tools for Data Science

By Mandar V P

Apr 11, 2020

Last part is not updated. The videos and notes are of the old version of IBM Watson, hence the interface of the thing is just about completely different from the one shown and taught about in the lecture. IBM should change the videos and notes ASAP.

By Devon H

Mar 20, 2020

Technical challenges given differences between what was presented and what was found for exercises. In some cases steps didn’t render student getting the required options to complete all aspects of the assignments and/or took a lot longer to finish.

By Manish P

Dec 27, 2019

Multiple creation of logins was confusing. A lot of time was spent figuring out the links. Changing the name from Data Experience to Watson Studio probably led to some of it. Hope you guys streamline the steps and videos to match with what shows up.

By Haim D

Mar 13, 2019

I feel that I could have benefit much more from coding more with Python or R. I feel that all I know is how to activate the tools, and run scripts that are already written. I would have liked more time to practice the tools, facing real questions.

By Vincent Z

Jan 8, 2019

The course does a good job of showing the some available free tools for data scientists. However, I still haven't the impression of having learned any data science yet, after two courses in this specialization. I hope the best is still to come.

By Chris L

Oct 15, 2019

it is good to know there is a lot of free tools out there but it is not very practical. in reality, you will most likely use one tool and excel in one language, having tons of tool in the box does not mean having the equivalent in your brain.

By Juan D C G

Sep 20, 2018

The course is OK, the problem is that IBM tools seem don't work every time. I had to open 3 accounts with different e-mails to get to work with Watson Data Studio. The videos explaining how it works are outdated and don't correspond anymore.

By Christina T

Feb 6, 2021

A lot of information is thrown at you at once and really isn't explained other than that they are tools for data science. It would be easier to follow along if other random facts about them that aren't related to their purpose was removed.

By frank s s

Oct 1, 2018

I found some of the lessons hard to follow. The web page has been updated but the class has not. I still enjoyed the class and learned some valuable information but it would be nice if the data being taught was current with the webpage.

By Anas A

Feb 23, 2022

The course is rich in information, but in my opinion it shouldn't be the 2nd course in the IBM Data Science Professional Certificate. It should come later when students are more familiar with the different steps of data science projects.

By Henrique M

Jul 24, 2020

The course did not present didactics at the same level as others Coursera courses. The mix of IBM tools for training in the same space as the service sales environment makes learning confusing. The exercises on the tools were very basic.

By Folasade O

Feb 23, 2020

Good introduction to multiple data science tools and their integration with one another .

The instructions in many of exercises are not explicit and in some cases not complete. There is a lot of room for improvement with the exercises.

By Thiago V

Feb 15, 2022

First part of the course was great, learned about tools and stages of the data processing. The end was overwhelmingly focused on IBM tools, which even depended on an IBM account that no longer worked by the time I finished the course.

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.