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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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2726 - 2750 of 4,596 Reviews for Tools for Data Science

By Serhii M

Nov 29, 2019

Sometimes was complicated to follow the instructions and they were not matching each other in the course and IBM Cloud, but anyway...

By Rubén P A

Apr 16, 2022

It was a good course, I learned a lot of new things, but some videos and information need to be updated because they have problems.

By Fadi

Oct 22, 2021

This is the first time I am familiar with the tools that are used in data science, The information was quite extensive as a newbie.

By Ankit S

Jun 16, 2019

This course is very well balanced helps us to used Skills Network lab and IBM Watson studio and help us to learn various notebooks.

By Daniel L

Jun 5, 2019

This should be a great first introduction to someone that doesn't know where to code and is the first time using one of this tools.

By Emilien G

Mar 6, 2019

Didn't give 5 just because there are some difficulties to login to your Watson account page sometimes. Otherwise it's really great.

By Jie Z

Jun 1, 2023

It is overall a good series of modules, but the tools and concepts discussed may be too many for a beginner to digest all at once.

By Shaghayegh G

Feb 6, 2023

It would be much better if the labs cloud were open source. I could not use the code for IBM and lost the opportunity to exercise.

By Ana M

Dec 30, 2018

Course was good, but teaching materials reference older version of Watson Studio, discrepancy between versions is a bit confusing.

By Jayne O

May 4, 2022

It was a little bit tasking for nme considering I don't have a computer science background but I enjoyed the course all the same.

By vipin k

Sep 19, 2020

Some sections are more dedicated to IBM tools rather than comparing the tools available in market and taking about the best ones.

By Vasudev S

May 7, 2020

This course teaches you to use many open source tools that too without having to download and setup any software on your machine.

By Collin C

Nov 20, 2019

Videos are outdated, so it is difficult to navigate IBM's website. The overall material is pretty good for a simple introduction.

By Daniele M

Nov 10, 2019

This course gave a good introduction to open source tools which are currently being used in the market for data science purposes.

By Chen G

Sep 25, 2020

I appreciate IBM created this class. But the IBM Watson part is really boring....whole week spent on IBM product is too much....

By Omer L N

Sep 1, 2019

The content is practical and instructive. Update the content of IBM Watson section with the latest version would be more useful.

By Frank S

Mar 31, 2019

It was a little confussing that the coursera material did not match the IBM cloud exactly - The could seem to be in development.

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.