Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,204 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

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.

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.

Filter by:

4001 - 4025 of 4,771 Reviews for Tools for Data Science

By Reyna P

•

Feb 16, 2020

Materials were not updated and it was confusing to follow along.

By Carolina S L

•

Feb 1, 2022

The explanations in this course are very superficial and fast.

By Siddhartha S

•

Apr 13, 2021

Most of the content was not learner friendly..still enjoyed it.

By Christian R

•

Jan 4, 2020

This feels poorly constructed and dated... Useful tools though!

By María F C Q

•

Jan 21, 2020

IT IS NECESSARY TO UPDATE THE VIDEOS ABOUT IBM WATSON STUDIO.

By Marian G

•

Jan 2, 2019

The amount of content is small and scratches only the surface.

By Grace S

•

Jun 21, 2022

I completed this course but it says "no certificate offered"?

By Jesper S B R

•

Jan 29, 2020

There is a big gap in difficulty from course 1 to this course

By Kateryna K

•

Feb 22, 2023

Watson Studio Material was badly made and seemed just messy

By Alexandre A

•

May 19, 2022

The material must be update to new version of Watson Studio

By Sergio D

•

Apr 18, 2022

Too much centered in IBM tools, and they are hard to handle

By Ayush K

•

Oct 19, 2019

Needs to be up to date as many bugs in course and practical

By Andrew W

•

Oct 7, 2019

Videos are out of date with the new interface of IBM Cloud.

By Huan L

•

Jun 26, 2019

A little bit too easy, but still, maybe good for beginners.

By Adam L

•

Mar 17, 2019

Outdated Material. But still good introduction to notebooks

By Mia Z

•

Feb 18, 2021

Some of the instructions are not clear enough or beginners

By Deleted A

•

Sep 17, 2020

I did not like that much the focus on IBM Watson Studio :/

By ThanhCj

•

Feb 17, 2020

Please update videos base on new updated of Wastion Studio

By Rafael T

•

Jan 15, 2020

Course should be updated to include new watson's interface

By Gabriel G V

•

Jan 10, 2020

need to learn programming first!

put a python course first!

By Sergey M

•

Dec 26, 2019

Course should be updated to be used with IBM Watson Studio

By Nidhi L

•

Sep 17, 2019

Very high level. Need to have more details for a beginner.

By Mayada E

•

Oct 19, 2022

Too much information in one course. But I learned a lot!

By Jannis J

•

Dec 3, 2020

Not really necessary. Most of the information is skibable

By Federico J

•

Aug 24, 2022

a little slow but necessary to acquire initial knowledge