Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,168 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.

Filter by:

2751 - 2775 of 4,596 Reviews for Tools for Data Science

By Miguel A I B

Mar 25, 2020

excellent training to familiarize with Data Analytics open source program tools and workbooks capabilities and functionalities

By Karl J

Feb 25, 2020

Great overview of the tools, would have had more hello-world-type assignments for all of the new software packages introduced.

By Giovanni P

Jan 6, 2020

Interesting, yet not perfect course. A lot of the video contents need to be updated, as well as the hyperlinks of the lessons.

By Dinesh K R

Oct 4, 2019

Very useful to get an insight into the data science tool, however, practice is required to be done by those who do the course.

By Sajid M

Sep 15, 2020

It was quite informative and has helped my pick up new skills like creating basic Jupyter notebooks using Python programming.

By Declan H M G

May 8, 2019

A broad a detailed description and introduction to the open source tool available, with a good basic guide on how to use them

By Deleted A

Feb 25, 2019

Excellent, but the Watson studio video's need to be upgraded for the new user interface. Otherwise it would have been a five

By Rachana S

Aug 1, 2019

I thin a few more exercises could be added to the course in order to make the course takers a bit more fluent with the tools

By Luiz A G

Dec 24, 2022

It's a good course, but I had some trouble accessing a machine learning tool needed by the course on the IBM Cloud account.

By Jeffrey G D

Mar 28, 2019

There were a couple of instances where the review question in the video asked about something, before the video covered it.

By Faezeh A

Sep 24, 2018

The tools that this course introduces, are helpful and I will use them. But I think some of the explanations are too basic.

By Rithwik P

Apr 16, 2020

I feel the videos could be updated with the Watson studio instead of data science EX ,simply causing unnecessary confusion

By Alina T

Jun 14, 2019

The instructions regarding how to access Watson Studio were not correct (outdated), so I had to figure this out by myself.

By Kevin C

Jun 8, 2019

Great course, however there are a lot of people including myself who got a bit confused with the final project submission.

By Nader A

May 27, 2019

Although the represented content was well formed, I think introductions to each technology and section was so rudimentary.

By Rodrigo P B

Jul 20, 2021

Excellent course. I learned different ways and functions to manipulate data, treat, refine and produce consistent models.

By Muataz A B

Jan 24, 2021

I liked the course, there were parts that the videos were not clear and the reading takes a few attempts to be accessible

By Sunil P

Jun 29, 2020

Nicely designed course, lot of inputs,

Spoken English of some of the narrators was difficult to understand during videos.

By Boo G

Jan 8, 2019

some of the options on Watson data Experience work a bit different than they do in the videos but otherwise good content.

By Dương T

Sep 7, 2020

This course provides a wide and variety of information about popular data science tools, especially which came from IBM.

By Enrique P

Oct 12, 2018

I think the video of the Zeppelin Tutorial is not clear at all, especially for those like me who don't know programming.

By Mattias M

Sep 16, 2018

The content was interesting, I was hoping for a little more coding and maybe less Watson, even if it is very interesting

By Orlando D

May 15, 2020

pretty good experience , the IBM site changed their look. Was a little confusing to create notebooks but finally got it

By Setia B

Jul 28, 2019

The course is quite informative especially for those who are looking for cloud alternatives to do data science project.

By Fabián E V S

Aug 29, 2022

I liked this curse. But in my country I couldn't open some options of IBM Watson Studio. Also the final exam is rote.