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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,196 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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4251 - 4275 of 4,769 Reviews for Tools for Data Science

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.

By Fedrizzi E

Jan 31, 2020

Material seems outdated, and poorly informative. Too many topics are just mentioned without details, which is frustrating: I got the feeling that to have a minimal real understanding of the subject I had to do a lot of personal research outside of the course.

By Alvaro B d N

Jul 29, 2022

I'm quiting this course because they have a tedious methodology — they made me think DS is boring, so I'll look for another course to help me change this impression. It didn't catch me at all. The way the content is distributed looks like a patchwork quilt.

By PETER G

Nov 27, 2019

Silly questions that is primarily throwing in negatives in the statements or trying to trick you rather than assessing skills. The course primarily shows the UIs of the tools and its scope/what it supports and very little about open source tools as such

By Hsuan C

Jun 15, 2022

This course is like cooking something. If you’re not going to cook right now or later, it would be totally wasting time for reading the recipe. Because by the time you have all the material, you still need to read the recipe again before cooking

By Deleted A

Jan 7, 2019

It seems there is something wrong when try to get a promo code and use IBM cloud (watson studio) system to finish the assignment, which disappointed me and cancelled the rest courses. It is really a pity that I really want to learn the course .

By Deleted A

Jun 16, 2019

Not that helpful. Too much like an an introductory article on 'data science' as well as an ad for Big Data University. 2 stars for introducing somewhat helpful tools, but this helpfulness could have been achieved in much less course material.

By Frances L

Apr 19, 2020

Very informative for someone who is looking to start writing in code. Week 3 was very messy. Nothing was where it was advised on the videos which made them very redundant. A lot of time wasting and looking at discussion Forums as a result.

By Michel M

Apr 28, 2022

It's a bad course overall, IBM trying to sell their platforms. Also it's worth mentioning that all the videos of IBM Watson Studios are outdated.

It could be a lot better if they focus on the Data Science field and less in their own tools.

By Jason L

Jun 24, 2019

The IBM platform website looks to be updated. it would help if the videos were also updated so there is less confusion for students when they try sign up for an IBM account. Looks like a few students had issues from the discussion forums.

By MARISA H

Dec 8, 2020

This course was a little overwhelming in any sense for me. It went from zero to (at least) intermediate level. I don't think if you are like me (somebody without coding knowledge at all) would easily get this part. I find it real pity.

By Saptarshi S

Nov 3, 2019

Content is pretty outdated and the user interface of the tools have changed a lot since then. Also it teaches nothing worth 3 weeks and only shows u different notebooks which could easily be taught while applying them in other courses!

By Marcelo A

Dec 4, 2019

Course feels rushed and does not really provides good quality material or useful instructions other than very rapidly presenting IBM's tools. Last week evaluation is simply terrible and unfair. Other platforms should also be allowed.

By Ekaterina K

Jan 20, 2023

Not enough practical material, too much focus on IBM Watson Studio I have to opt for other courses to get a much better and detailed overview Audio is off at many times, some links do not work properly, especially for Watson Studio

By Martin W

Mar 16, 2022

Half of the course feels like marketing for IBM tools. In the rest, one learn how to launch tools, not to use them. Most of these are software development tools. The course really should ask students to write some simple programms.

By Brigett

Mar 2, 2023

the work jumped around a lot and was very confusing. I had to outsource a lot of material to help me out. This course is for people that already have knowledge of components in data science not for someone that has zero experience.

By Sam B

Mar 19, 2021

This could have been covered in 1 week. The information is usually presented fine, but some videos are literally recorded in a car. The information is fine to know but does not require a whole course for. A bit of a waste of time.