Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,135 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.

Filter by:

4226 - 4250 of 4,759 Reviews for Tools for Data Science

By Johni A K

Aug 23, 2021

Many of the videos are out of sync with the current IBM Cloud interface. Also some lessons start at a point but give no indication how to get to that same starting point.

I felt not much was gained from week 3. I learned more from IBM help docs and YouTube than from week three's materials.

By Cesar A

Aug 9, 2020

I understand the purpose of this course, to showcase all the different tools a data scientist needs, but since this course is offered for beginner level, the vast majority of the concepts introduced in the lections serve no purpose in educating since we don't have the expertise to grasp it.

By Marco P

Jul 26, 2020

Confusing, curriculum not designed for beginners that don't have coding experience. You can get through it, get a certificate, and learn some stuff, but be prepared to Google a lot and watch other tutorial videos in order to pass the course quizzes, because the video lectures are terrible.

By Vladislav G

Jan 20, 2020

Well, that course is not that useless as the previous one in the specilization because now at least I got to know some tools. But still, most of the course is a waste of time, as all those tools could be described and linked as a part of some module in a more difficult and hands-on course.

By Islam S

Nov 1, 2020

The course bombards you with lists of tools used for data science. Despite that an overlook is usually useful when given as an, well, overlook, the details here are boring and will definitely be forgotten quickly. Also, several videos have nothing except the VO reading the on-screen text.

By John C

Mar 25, 2019

You really need to update the video to reflect how the latest versions of the tools look. Consider whether it is really necessary to have us sign up to 2 different cloud lab environments, surely one would suffice. Both these issues cause a lot of frustration as can be seen in the forums.

By Rachel G

Jun 14, 2019

I felt a lot of the content was outdated (whether it was the names of software, or the screenshots they showed). I also didn't learn much from it, and felt it would have been more meaningful if we learned these tools in conjunction with doing more meaningful and engaging work with them.

By tal h

Jan 24, 2019

The course provides some basic knowledge of the tools and platforms for a data scientist and how to technically use them. however, a third of the course is a technical guide for the use of an older version of the watson platform. basically a big portion of the course is a waist of time.

By Michael H

Jan 24, 2020

Course had a lot of content, that was great, but lessons and instructions did not match the software from IBM to be used. This wasted hours of time and added lot of frustration.

Please course owner, update these course so students can get the full benefit without wasted frustration.

By Sylvain H

Aug 15, 2022

The first two sections of this course are quite informative and well curated, but the third section is just one giant promotional video of IBM's tools, which for me does not count as a course, but as product placement, for which I am paying for. I am quite disappointed by this course.

By shipra s

Jul 19, 2020

Very brief. Although it's meant to teach tools for data science but the explanations are too quick. Assignments don't really explain why we are using those commands. So many tool names to remember without any explanation and how to use them. Very dissatisfied with this course. Thanks

By Nathan B

Sep 11, 2022

Several of the questions were poorly written or poorly translated into English. Several of the videos providing instruction were outdated when compared to the current versions (IBM Watson). The peer grading seems completely subjective and inconsistent. This one could be improved.

By Hailu K

May 23, 2021

One can learn very few out of this course. It flies across a lot of tools without letting the student to really touch on them, so one basically learns nothing. It feels more like the lecturers are showing off their knowledge of various tools but not willing to really teach anything.

By Eric W

Apr 18, 2022

If you used your Watson account for a different course and the subscription expired, it will not let you continue using the Watson account with a new free use key. A lot of the labs involve Watson on this, so the coursework was impossible to do without paying for a Watson account.

By Alice L

May 30, 2020

The videos introducing you to new tools like Jupyter and Github are SO BAD that it is basically just a man recording his own screen and rambling without a script. The video was not educational and not formal. It is worse than free Youtube videos that show you the exact same things.

By Marcio A

Sep 22, 2020

Quality of support material is not good. The amount of tools presented is overwhelming, maybe should be considered to present them gradually according to the need of application, this would help a better understanding of functionality and the reall need of the usage of such tool.

By Mohamed A

Nov 8, 2022

Week 2 and 3 have lots of details about tools, that I have no context for.

Specially week 3 looks more of advertisement for IBM tools.

This could have been moved to different time in this course

Or at least dont focus as much on each program name and functions in the graded exams.

By Daniel K

Dec 10, 2020

This was too much of an infomercial. Disappointed about the content. If I would have had a drinking game, where I would have a shot for each time IBM Watson Studio was mentioned I would not have made it through even 2 videos. I hope the next module has more substance to it.

By Sarvani R

Jan 20, 2020

While the course offers a good introduction to open source tools, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn't say powered by coursera. So 2 stars for charging money for a free course

By Linh P

Apr 15, 2023

So much repetitive and unnecessary info which you will never use in the real-world if you do just do a Google Search about these tid-bits trivial. Quizs are pain to complete , just mad word-play. I don't even know why this portion needs to be included to get the certificate

By Courtney M

Apr 21, 2020

This course was okay, but it definitely needs to be updated or redone. In the first lesson, there were a lot of spelling mistakes which makes me question the accuracy of the rest of the course. I did learn about the tools though, but will need to play around more on my own.

By Yoobin K

Apr 5, 2020

The content was informative. However, the page in the lecture was not updated, and it was not easy to follow the instruction since some instructions in the practice exercise was not clear enough. It will be better to have clearer, and detailed explanation and instructions.

By Gargi S

Jun 26, 2021

This course probably needs to be later in the course series. For a beginner, it is an overdose of information and abbreviations. Also, a lot of time is spent explaining Watson studio than needed, especially for those who would rather code the analysis than use a GUI tool.

By Alex C

Sep 29, 2020

Too much focus on IBM provided software, parts of the course felt like I was training as a sales representative, with being graded on my knowledge of IBM products. Some of the questions in quiz's had 'joke answers', which is not what I'd expect from a professional course.

By Jeremy H

Jan 22, 2020

First couple weeks are interesting to see but not overly useful. Week 3 videos are horribly out dated, links are none existent or not working. Website for application doesn't appear to work half the time and it can be impossible to even complete the course in full.