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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,254 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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701 - 725 of 4,611 Reviews for Tools for Data Science

By Andrew S

Dec 11, 2019

Interesting to see some of the main tools I will be using. It makes it all a bit more real.

By R P K

Jun 20, 2019

This is really a well-organized course. Data science aspirant should enroll in this course.

By Appala N

Apr 30, 2019

all about basics of languages Pyton jupitor notes, Zepplin, R studio and IBM watson studio

By Nguyen V L

Mar 4, 2019

The course is good. However, there are some lessons whose links/platform should be updated.

By Keelan K

Feb 18, 2019

Great intro to the various open source tools in a well structured and easy to follow format

By Fitsum M

Jan 5, 2019

You will be acquainted all you need data science tools in the market. Perfect and organized

By Somaiya J G

Nov 6, 2018

Amazing, before this course I was only aware about Jupytor notebooks, this helped me a lot.

By Deshan R G

Jun 20, 2023

Awesome course! At first it looks overwhelming but in later stages you get the hang of it!

By Rinat L

Nov 30, 2021

A comprehensive course which explains about basic tools used in the world of data science.

By Rafael A O

Nov 8, 2021

A wonderful course. Learnt a lot and will go on with other courses immediately. Thank you!

By Behnam Z

Jun 4, 2021

The course was so useful and helped to have a better understanding of Data Sciuence tools.

By Ajin

May 28, 2021

Superb course. From basics to the advanced in a step by step manner. Love Coursera and IBM

By Hongyi W

Jan 6, 2021

This course is very helpful. It helped me to be familiar with basic tools in Data Science.

By Mo R

Oct 27, 2019

This course is a useful introduction to useful tools for applying data science techniques.

By Emmanuel B

Aug 19, 2019

This is a very good course, provides great alternatives to traditional data science tools.

By Alfonso D l R

Jul 23, 2019

Very good course, useful to understand all the tools a data scientist use in the IBM cloud

By Sadiq S H G

Mar 31, 2019

Very Good Course.

I would like to thank the lecturers.

I also want to thank (Coursera- IBM).

By Javier G H

Dec 29, 2018

Good course in general. It's great to have access to so many free tools, including watson.

By Abhishek S

Oct 10, 2023

Loved this course helps me understand complex issues easily at least better than YouTube.

By Bate B T

Mar 15, 2023

Very challenging course for a beginner as myself but I leanred a lot and I am glad I did.

By Mostapha H

Sep 22, 2021

Fantastic overview that structures your thinking on the available tools for Data Science

By Fernando C A

Sep 8, 2021

Is a good curse to know any kinds of tecnologies, frameworks and tools to work with data.

By Kenneth T

Sep 3, 2021

It was an eye opener to what is possible by building and deploying AI and Machine models.

By Nathalia P

Sep 5, 2020

Great curse! I really learned how to use the tools and understood how important they are.

By Gokulakannan S

May 2, 2020

Loved the course but the course must be updated because the UI of IBM Watson has changed.