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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,164 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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3876 - 3900 of 4,762 Reviews for Tools for Data Science

By Alfonso G P

Jul 16, 2019

I felt like the course rushed through the tools and assumed previous knowledge that didn't necessary existed.

By Nguyen L

Dec 23, 2019

Instruction and quiz are based on outdated information. And again too wordy for a bit of useful information.

By Carolina S B

Nov 28, 2018

It was very stressful because the IBM DS environment does not look at all like what was shown on the videos.

By H N

Nov 25, 2018

The videos are not uptodate. Many of the instructions are old and not compatible while I try to follow them.

By Brij P

Jul 15, 2022

Found the IBM tools very intense. Had to watch the videos twice as their is so much infromation to process.

By Mansour A A

Jul 24, 2020

The videos related to GitHub are above the level of beginners and I did not benefit from them as expected.

By Pierre-Antoine M

Jan 22, 2020

Able to make it work and it will be useful but every video on how to set up IBM Watson Studio is outdated

By Patricio T M

Aug 16, 2024

Mucha teoría en vídeo. Mejor que se pongan en práctica códigos en R, Scala, etc. Así como las librerías.

By Jose A R R

Jul 26, 2024

The course is very require much time, i think that is necesary give a certificate when finish the course

By Rishi R S

Aug 6, 2020

R studio and Watson studio tutorial can be improved and the sound quality of the GitHub tutorial is bad.

By Thomas J

Apr 28, 2020

The older videos makes it a bit difficult and definitely needs to be updated in line with the latest IDE

By David S M

Sep 30, 2019

Too much theory, I missed some practice inbetween lessons and more in-depth use of the Watson platform.

By Rana F

Sep 2, 2020

The course is really good, but I found some videos overwhelming it had a lot of information to process

By Svetlana S

Apr 15, 2019

Some video need to be updated, because the screenshots are different from actual version of the source

By Ruben F

Nov 15, 2018

The videos should be updated, because the IBM Watson studio web page is totally different form videos.

By Yashvardhan M

Jul 26, 2020

I think the course became a little difficult for non-programmers at certain points during the course.

By Chonlapat S

Apr 24, 2020

content is fine but it is less interesting than the first one, less practical exercises than expected

By Jacky T

Dec 4, 2019

My 3 star is because the instruction of IBM Watson is too old. The UI and process is quite different

By Ankit S C

Oct 14, 2019

This course could've been more elaborate with the tools about the functions, a few commands and stuff

By Goran M

Dec 14, 2018

Course material needs to be updated to reflect changes on external sites used in it (Watson Studios).

By Nako K

Dec 20, 2019

The contents of this course should be updated. There are many difference that make me feel confused.

By Alireza F

Dec 8, 2018

The videos needs to be updated. Its takes a long time to figure out how to work with Watson Studio.

By Siddharth S

Sep 9, 2022

Compared to 1st course, this course was not interactive and the labs were not explained properly

By Himanshu P

Sep 28, 2019

Intro to tools are good but it's just Intro not even one small project to get hands on experience.

By Deleted A

Sep 1, 2022

It's a broad overview of DS tools, but it's full of opaque jargon that isn't defined in context.