Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,483 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

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.

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

Filter by:

776 - 800 of 4,827 Reviews for Tools for Data Science

By Sasha P

Jan 1, 2025

This was very helpful, I actually feel like I'm learning and not just meddling through

By Florentino F G

Feb 12, 2023

Excellent course material to have an idea about different tools a data scientist uses.

By samuel i

Jan 7, 2022

Was an experience worth it, found out about different tools that I never knew existed.

By Stuart D

Oct 22, 2021

Well organized, full of useful information to get you started and whet your appetite.

By Jose A D R C

Mar 7, 2021

A great introductory course to learn entire ecosystem of tools used by data scientists

By Xrvo.5

May 4, 2020

it's a very helpful course it taught me too much about the open tools for data science

By Ishani S

Apr 11, 2020

This course was an excellent introduction to the many tools available in Data Science.

By Omar R G

Nov 13, 2019

Good introduction to Jupyter and Zeppelin notebooks, which are in general very useful.

By J.P. V

Aug 6, 2019

It helped me to really open my mind about the possibilities in the data science world.

By Abdel-Ilah B

Jun 28, 2019

So well explained and presented that an absolute beginner can grasp all the details...

By Michael C

Mar 23, 2019

It was nice to learn about the IBM cloud tools available, including IBM Watson Studio.

By Ashutosh P

Jan 28, 2019

thank you so much sir for creating this course which is very helpful for data science.

By sidnei f

Aug 30, 2023

The course was great. There are a lot of tools I didn't know about. Very informative.

By Abhishant G

Nov 15, 2021

Very informative course, and the introduction to watson studio was also very in depth

By Gilberto G

May 22, 2020

Excellent introduction about open source tools for data science in IBM Watson Studio.

By Anthony S

Jan 27, 2020

I really enjoyed the hands on aspect of this course. Looking forward to the next one.

By Barak B K ( L

Jan 14, 2020

Great course, i would add more practice lessons, also more mobile friendly materials.

By Zeeshan

Oct 20, 2019

one of the best course to know about and practice Open Source tools for data Science

By Zachary G

Apr 28, 2019

A basic course going over the open source tools necessary to self-study data science.

By Udeme M

Jul 3, 2024

I really loved this one. It gives a thorough overview of the tools for data science.

By Umit K

Jul 8, 2023

It is a bit longer tour than part_1 but it is going very well.. Keep going to learn!

By Charles S

Jun 18, 2023

I liked this course. It had a lot of good exercises for learning Jupyter Notebooks.

By Raquel M R C

Jun 2, 2023

Very interesting to learn how to create a Jupyter notebook and to link it to GitHub.

By David S M

Sep 15, 2022

It gives a very competent knowledge on the Tools that can be used for Data Science.