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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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3776 - 3800 of 4,596 Reviews for Tools for Data Science

By Saba A

May 23, 2020

too much commercial names and software which doesn't really add any knowledgeable value.

By Robert D

Feb 21, 2020

Some information is outdated so requires figuring out, nonetheless content is excellent.

By Alex S

Jun 6, 2019

The IBM Cloud interface did not match what was in the video. Videos need to be updated.

By Michael S

Dec 17, 2020

Some of the videos show outdated IBM Watson layouts making it harder the follow along.

By Chattarin W

Jul 27, 2020

Some workshops are quite skeptical, thus making the learners loss their comprehension

By Aburvaa R

May 31, 2020

The explanations were not beginner level. Most of the things sounded Greek and Latin.

By Vasant C

May 25, 2019

ibm watson has to be updated. There are several updates it missing in current course.

By Ufra N

Oct 9, 2020

More like an advertisement for IBM tools rather than teaching fundamental knowledge.

By Ashwini K

May 28, 2020

The lectures are outdated with example .I would suggest reviewing it more frequently

By Karan S

Apr 6, 2020

The IBM materials are not up to date . It will be good if the materials are updated.

By Rafael M F

Apr 5, 2020

Great videos and lectures but some online resources were unavailable or not updated.

By Lawrence L

Jul 4, 2023

I can't follow the Watson Studio the UI on the cloud.ibm.com doesn't looks the same

By Sarah R

Nov 1, 2022

Lots of focus on the IBM suite of products vs. just focusing on more general tools.

By Saurabh

Oct 23, 2021

Lot of topic left uncovered. I find difficulty in some topic due to less detailing.

By pavan j

Aug 25, 2021

This Course has high language of teaching, I mean beginners won't understand easily

By Kateryna T

Feb 16, 2020

It requires to register in different tools outside the coursera to proceed further.

By Mohammad A

Aug 10, 2020

More Practical Use of Tools instead of their info would have been more appreciated

By Wesley v W

Jan 29, 2020

Videos are out of data and the navigation is different from video to new software

By Eric S

Jan 20, 2020

Videos need to be updated to reflect what is currently live in IBM Watson Studio.

By Muhammad D R

Oct 22, 2020

It's not as good as the first course. i think it really needs reading materials.

By Michel R

Mar 23, 2020

Interesting course that will introduce with the existing data science platforms.

By Prabanjan C

Jan 22, 2020

Tools seems to be outdated, videos are not aligned with the IBM's cognitive lab.

By Ana C O W

Jul 7, 2021

Muchas cosas toca pagar, y es muy teórico, seria chévere que fuera más práctico

By Amine E

Aug 1, 2022

Could be better , confusion between using IBM cloud and the IBM skills network

By Ettore M

Oct 19, 2020

In my opinion it should give more info on basics of languages/libraries usage.