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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,245 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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2751 - 2775 of 4,608 Reviews for Tools for Data Science

By Wade R

Feb 19, 2019

Great overview of the open source tools available to practice Data Science with as well as an overview of an Enterprise Version.

By Dhanesh T

Jun 3, 2022

A fair description of useful Data Science Tools. Although dedicating an entire week for proprietary IBM Tools was uncalled for.

By Leonardo B S

May 27, 2022

Awesome course. The only downside is the command line git hub vídeo tutorials. It is no very clear and has missing information.

By Madeline L

Apr 6, 2020

Some of the material (i.e. exercise instructions on tools) are slightly outdated but the course itself is a great introduction.

By PARASKEVI-SPYRIDOULA K

Jan 31, 2020

Even thought the course content is interesting, videos provided are not updated, making the learning experience a bit confusing

By Vin B

Jan 6, 2020

A little outdated in some parts, but in general a good introduction to Jupyter Notebooks, Apache Zeppelin Notebooks and RStudio

By Ifueko U O

Mar 28, 2021

I found the course to be quite heavy. I feel like there was a lot of information thrown at me but I enjoyed the hands on labs.

By Amaan S

Jun 30, 2020

I felt this course could be designed a little bit better.

The Github and the IBM tools modules were pretty vague and confusing.

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