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:

4101 - 4125 of 4,770 Reviews for Tools for Data Science

By Aamer H

•

Feb 15, 2020

The contents were not updated

By David E

•

Dec 28, 2018

UI changed from the recording

By Jochen D

•

Jan 14, 2022

Too much Watson for my taste

By xavier w

•

Oct 26, 2020

no teaching of writing code

By Johann R

•

Jul 6, 2020

some content not very clear

By Sangyeol L

•

Dec 31, 2019

Class material is outdated.

By Ahmad H

•

May 17, 2019

need more practical samples

By Michael C

•

Oct 11, 2018

slow going but good so far.

By Christopher R

•

Jul 1, 2020

Some videos went too fast.

By Orkhan K

•

Apr 27, 2020

Need update for assignment

By Varun S M

•

Apr 7, 2020

lot of content is very old

By Gabriel d N F

•

Dec 9, 2019

Material has to be updated

By Daniel G C H

•

Feb 7, 2019

Need to update the videos.

By Pedro P D A M

•

Oct 24, 2021

Too much about IBM tools.

By Vipul K M

•

Oct 29, 2020

week 2 was very confusing

By Karthik S V

•

Apr 13, 2020

Please update the videos.

By Adrián L

•

Jun 19, 2019

videos need to be updated

By Saurabh G

•

Apr 19, 2020

Videos should be updated

By Denisse D

•

Jul 4, 2019

It was not very exciting

By Ponciano R

•

Feb 1, 2019

good, informative course

By Lee

•

Sep 19, 2018

Simple trivial materials

By Flavie

•

Jul 1, 2021

Hard to stay interested

By Rasim G

•

Jul 11, 2020

Brief and introductory.

By Ritwick A

•

Jan 8, 2023

needs updating to 2023

By cara w

•

Jul 29, 2022

It doesnt work for me