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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

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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4376 - 4400 of 4,771 Reviews for Tools for Data Science

By Moatez B B C

Nov 21, 2019

this course is just an overview of 3 basic Data science tools: Jupyter-notebooks, Rstudio and Zeppelin

By nagaraja r

May 21, 2021

Assignments were with the queries which were not covered and i had go through the google to answers.

By Sagar G

Feb 26, 2019

Week 3 has a lot of problems in creating account with IBM Watson Studio and following the videos.

By Gustavo A N G

Sep 14, 2020

Video resources are not good. Some comments for improve the course are related on week 2 forum.

By Michelle H

Jan 9, 2023

Not very clearly written. Instructions for tasks in outside programs are extremely confusing.

By Luai A

Oct 6, 2022

Too many lessons about the used tools without explaining the data science basics behind them

By Paul E

Feb 24, 2022

Thr IBM resources referenced were not accessible. Too many errors on links for course tools.

By Heather L

Apr 24, 2022

Some things are outdated and hard to follow. Could have used more repitition for learning.

By Pranit M

Jan 11, 2022

Was not able to access Watson Studio. Had a lot of trouble completing the final assignment.

By William R

Sep 19, 2020

Outdated lessons, basically an advertisement for IBM products that you have to pay to see.

By דני ג

Jan 21, 2020

This course is basically trying to promote IBM products without any notable skills learned

By Yuchen G

Jan 7, 2020

The course video material is outdated. IBM Cloud service is shitty with lots of problems.

By Ugur S O

Nov 19, 2020

I think some videos are not prepared as meticulously , they seems little bit amatuer.

By Serdar M

Oct 20, 2018

materials are outdated. instructors are not helping and there is no way to contact them

By Stefan A

Mar 18, 2020

Exercises in week 3 did work according to course material. Update of course is needed.

By Carolina C S

Dec 23, 2019

The module on Watson its completely outdated, as the platform has changed quite a lot.

By Bivek n

Nov 25, 2019

The course is outdated. I cannot believe that they are still not reviewing the course.

By preethi v

Nov 2, 2022

The music was bad

some of the assignment sheets differed from the actually assignment

By Bahle M

Sep 5, 2021

There was too much coverage on IBM services, this should have been optional sections

By ricardo

Dec 12, 2020

Pouco pratico e entra em pouco detalhe de cada ferramenta. O mais proveitoso é o Git

By Marc A S

Mar 31, 2019

We learned of the tools, but not much about them, how they work, that sort of thing.

By Akhilesh K

Nov 19, 2018

There was a lot of problem in signing in for watson studio for doing the assignment.

By Vincent M

Dec 17, 2021

Mostly a too general approach, just listing of different programs that can be used.

By Ricardo S

Jan 3, 2021

Too much theory on the tools and little to none practical exercises/labs using them

By mvi

Jun 17, 2019

IBM Watson Studio is unnecessarily complex to set up. Even signing up is a pain.