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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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3951 - 3975 of 4,596 Reviews for Tools for Data Science

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

By Mentor M

Nov 24, 2019

Courser needs updates!

By Aluthgama G M A G

Sep 1, 2019

Poor quality tutorials

By Ibrahim E

Sep 26, 2022

Too many "IBM Tools".

By Siddhartha D

Apr 23, 2020

didnt add much value.

By Sergio R

Mar 24, 2020

Introductory and easy

By GABRIEL T L

Apr 26, 2019

Outdated instructions

By sairam p

Apr 10, 2019

Too basic of a course

By Fazli K

May 31, 2020

Best Experience Ever

By Rafael D B

May 21, 2019

it has to be updated

By Sanya H

Feb 12, 2021

Small parts of labs

By Niti R

May 13, 2020

Please update video

By Siobhan S

Sep 22, 2019

Needs to be updated

By Arun K A

May 16, 2019

Videos are outdated