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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,302 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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3926 - 3950 of 4,792 Reviews for Tools for Data Science

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.

By Prashant S H

Sep 23, 2022

Course needs to cut out irrelevant theoretical details that can be checked on internet anytime.

By Sebastian K

Nov 16, 2022

Week 3 was not very helpful for beginners.

I also had issues with creating an ibm cloud account.

By Adam C

May 25, 2021

Having done this course after doing some of the more advanced coursers first felt a bit boring.

By Kutay E

Jun 15, 2020

Too much detailed information is given for IBM Tools. Almost felt like an extensive commercial.

By William A

Apr 20, 2020

Some of the videos need to be updated to show the current IBM Watson Studio layout and process.

By Rosendo C

Oct 11, 2020

Some parts of the course were terrible boring... others were of the expected quality standards

By Christian v E

Jun 26, 2020

This course is quite dry and theoretical... hopefully the next courses will be more practical.

By Evan M

May 11, 2020

It was a good course, but some of the instructional videos were outdated and caused confusion.

By Darci D

Apr 11, 2020

Many of the videos were outdated, which made it hard to follow along while using the software.

By Hossein P

Dec 24, 2019

IBM Cloud has lots of problems and course contents are not matched with the new version of IBM

By Mark P

Jul 25, 2019

Videos are yet to be updated. With some extra effort, I was still able to find my way through.

By Amey k

Jun 19, 2023

Its was lengthy and so hard to understand. But if you give your all then you will understand.

By Saranya N (

Jul 27, 2020

I THINK THE CONTENT NEEDS TO BE UPDATED WITH ACCORDANCE TO THE UI CHANGES IN THE IBM WEBSITE

By Robina L

Oct 14, 2023

really difficult to use ibm tools - not integrated to videos and basically not user friendly

By ISHAAN M

Jun 1, 2023

the assignment can be better structured and the submission process cane be modified for ease

By Omkardeep S B

Jan 19, 2021

Audio in some of the videos were not good. Content was also not taken up from the beginning.

By Juan C C

Jan 22, 2020

Please invest the time in ensuring that the videos and descriptions match what students see.

By Chiara P M

May 15, 2019

nice overview of languages and platforms for data science. I would have liked deeper details

By Dalim M

Nov 15, 2020

really basic introduction to commonly used data science tools with a bias towards ibm tools

By Deleted A

Oct 21, 2020

Sometimes there was too much information and I didn't know what the video is talking about.

By RAFAEL

Jun 10, 2020

Needs to update the Watson Studio screens, some paths don't match with the course content