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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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326 - 350 of 4,596 Reviews for Tools for Data Science

By Miduna K

Aug 26, 2019

Pretty nice introduction. A short course, don't expect anything too technical, but i think in a world of heavy and long MOOCs, its not a bad thing to start off with a lightweight one :)

By Thomas D

Apr 18, 2022

Great overview which included GitHub and other tools. The final module was much more than expected, where it updated with very useful tools on IBM Watson in relation to Data Science.

By Kunal J

Oct 18, 2019

Introduces us to some really nice tools and also IBM Watson cloud service which has a lot of resources and IBM doing a service to the community by providing you many of those for free.

By LIAQUAT A

Oct 17, 2021

A very informative course which was planned and executed nicely. It included sufficient hands-on lab practice. I am looking forward to use these tools extensively as a Data Scientist.

By Humayun O

Jun 15, 2020

Great Course and Great Tools assessment for further advancement into data science. I believe that tools covered were great as well as good teaching. More so to the point and practical

By Sutapan P

Dec 9, 2019

Very detailed course with great videos, examples, study material and hands on lab. Also I love the concept of peer graded assignment, gives me opportunity to see how others are doing.

By Sharad S

Jul 17, 2019

A very good introduction to the various data science tools. Very helpful and easy to understand even for non coders. The exercises mentioned make you comfortable with the environment.

By Sirwan K

Feb 16, 2020

This was my first time to get to know open-source data science tools and it gave me a general view of the same. of course, self-study is a must to get more familiar with these tools.

By Deleted A

Sep 3, 2019

The course is too good.After attending the course, I am having great understanding on jupyter notebook.Also, able to make a small assignment on jupyter notebook on IBM WATSON STUDIO.

By Sultan

Nov 9, 2021

This course is very comprehensive in terms of giving proper view about data science field. Thanks to this course now I do understand which things are related to corresponding field.

By Alexandre L

May 6, 2021

Excelente curso, dá uma visão bem geral sobre a análise de dados e permite que escolha dentre tantos programas apresentados que você se aprimore futuramente no que mais lhe apetecer

By Rene B

Jul 28, 2019

I thoroughly enjoyed taking this class. The seamless platform with video and hands-on exercises created an engaging course. Also, the peer review process was extremely rewarding.

By Thanh N N

Feb 18, 2019

This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.

By Dipika D

Sep 12, 2023

very useful

thank you

By Waseem S

Jun 18, 2023

An enriching and comprehensive exploration of essential data science tools, offering insightful hands-on experience and fostering a strong foundation for aspiring data scientists.

By HANAE E

Nov 11, 2022

Interesting course, i have learned a lot about open and proprietary data science tools, and discovered how many IBM Tools could make the task super easy if you're into this field.

By Katheryn A

Feb 10, 2022

Very intense but thorough course. A lot of great content. I feel like they could separate this into multiple courses, but understand why they compacted it into one. Great overall!

By yasmeen s a

Nov 16, 2021

After going through this course, I have gained multiple open source applications knowledge. I believe one who needs to be a data scientist it is crucial to know the tools as well.

By Max G

Jan 29, 2020

Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.

By Md. A A J

May 2, 2020

This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step.

Course materials and assignments are great!!

By Donghwan K

Mar 7, 2020

I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.

By Luis H

Jan 8, 2019

The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.

By KUDA T C M W

Oct 14, 2019

Once I enrolled in this course I had no idea about Data Science tools. This course is the best for who don't know anything in Data Science tools and very beginners in this area.

By Haywood N

Aug 19, 2018

An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.

By Ronaldo L

Apr 5, 2021

I would like to thank you for the good structure the course has and of course the material is very well explained. It lacks nothing in terms of content from an in class course.