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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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2551 - 2575 of 4,596 Reviews for Tools for Data Science

By Marge O

Jul 13, 2019

So, it wasn't perfect BUT it still was very rewarding in terms of the educational value. Learning to use these data tools will take practice and hands on learning.

The course was well paced and totally enjoyable!

By Dhruv S

Jun 18, 2019

It's a good course. But course videos are outdated. IBM Watson does not operate in the same way as it used to in these videos. And the videos should be updated. As it takes a lot of digging around to figure it out.

By Ashish D

Jun 12, 2019

I found the course to be informative and covering a variety of tools. However it was constructed in a superfluous manner. I wish the material had more examples and was constructed in a little more detailed manner.

By Jonathan B

May 7, 2020

I thought the class was good and well organized. Polong Lin was very good. The only downside is that the video was dated when it came to IBM Watson studio. That was a bit confusing. But manageable. Thanks again.

By SYED J A

Jul 28, 2022

Most of the videos were very good and easy to understand. But the videos of DATA REFINERY and many videos on GITHUB were hard (or near impossible) to understand. Please do make them in an user-friendly manner.

By Sweta G

Oct 28, 2019

This course was really helpful. It gives you insight for the data tools used now days. The only reason I did not give it 5 stars is because the video is not updated as per the creation of project in IBM Watson.

By Kwabena A S

Feb 20, 2019

Very educational course. However, the interface on the videos are quite different from that of cognitive labs or IBM Watson. This made site navigation very difficult.

All in all, it was a good one. Learnt a lot.

By Carolina J

Mar 13, 2020

Muy buen curso me ayudo bastante que tengamos las herramientas disponibles en la plataforma de IBM solo que algunas se han actualizado y los videos no, pero solo Rstudio IDE y Experiencia de Ciencia De Datos

By Henna D

Aug 29, 2021

Loved the course and learnt a whole new world of information. Some questions in the quizzes are not worded correctly (especially one in the final quiz at the end of the course, these need to be corrected).

By Amanda H

Jul 11, 2021

I enjoyed it and learned a lot. My only criticism is that the quiz questions can be misleading and/or they ask about something that hasn't been covered yet or an aspect of something that was never covered.

By ong k s

Oct 14, 2019

Need to update guideline for IBM Watson Studio. I spend lot of time myself to figure out how to use the latest IBM Cloud. However, it is quite an amazing course to have R, Python & Scala in an environment.

By Marius-Liviu B

Dec 15, 2021

A good introduction to the tools used in Data Science. I consider that Git usage can be applied to almost any software project, not only to Data Science. The quality of the GitHub section is not too good.

By Mukto A

Jan 2, 2021

Much better course that "What is Data Science". Actually introduces the tools to be used in DS. However, could go into more depth for Jupyter Notebook, python and R, and leave out the IBM stuff in Week 3.

By Latoya G

May 18, 2020

I learned a lot from this course. It forced me way out my comfort zone. However, some of the videos need to be updated. Some of the videos had Data Science Experience interface rather than Watson Studio.

By Cesar E G

May 14, 2020

This is a good course, but need some update. The transition from week 1 to week 2 is a bit confusing and there are mentions to old names no longer in use.

Overall, I really liked and learn a lot. Thanks!

By Viacheslav K

May 10, 2020

+: Important content providing insight into the instruments of a data scientist.

-: Very superficial introductory course. A student who completed this course cannot yet master any of the tools introduced.

By AKshay K

Apr 30, 2020

This is a very good course. But some videos are not updated. As the IBM Data Science Experience has updated to IBM Watson so the video should also updated. It takes a lot of time for me in the IBM Watson

By Matthew A

Apr 6, 2019

I've subtracted one star since the videos, especially in week 3, were not in synch with the online tools (IBM Watson Studio). Otherwise, this was a good class for intro to open source data science tools.

By Christopher B

Nov 1, 2018

Tools are fantastic and will make a significant contribution to my education. Videos need to be updated for changes to Watson Studios. Support from IBM on their cloud services should also be improved.

By Rebecca M

Jun 12, 2019

Great course, would have got 5* if the videos were based on the new platform, as it was tricky in some areas to relate back to the newer version after looking at the old interface in the video demos. :)

By Nurullah K

May 20, 2019

The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.

By MOHANAD M

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

By vincent

Jul 7, 2021

i rather to chose what is data science is better in perspective of materials and assignment, because in tools for data science i feel a lot of boring because to much explanation for what have to use

By Fred D

Nov 17, 2020

Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

By Danny H

Sep 22, 2020

Gives you a good idea and overview about different tools but can be overwhelming because of the amount of new information and some videos are not up to date. Week 3 especially had some weak videos.