Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,282 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

Sep 21, 2020

Gives you a good idea and overview about different tools but can be overwhelming because of the amount of new information and some videos are not up to date. Week 3 especially had some weak videos.

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.

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926 - 950 of 4,969 Reviews for Tools for Data Science

By Tzvi

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Jun 25, 2020

Great course with some hands on to understand what data science is all about

By Rishabh g

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May 10, 2020

I liked this course and it cleared approx all my doubts regarding notebooks.

By Kapil D

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May 6, 2020

A great course to step in the open tools and create projects for a beginner

By Andrés I A B

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May 5, 2020

Really a good course introducing Jupyter notebooks and R, among other tools.

By bibek s s

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Apr 11, 2020

It was great course to understand about the tools essential for data science

By Filipe A S

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Oct 17, 2019

This course gave me an excelente base to start doing more jobs in this field

By Sukrut D

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Mar 23, 2019

Excellent Course it gives all basic information about tools for data science

By ShuTong

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Nov 27, 2018

very good content. Now I have more knowledge about open sources. SO amazing.

By Vincent L

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Sep 13, 2018

Great overview of the tools we'll be using in the rest of the certification.

By Muhammad A

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Nov 25, 2023

A very good explainations and details to all the tools. Thank you soo much.

By Shima N

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Aug 14, 2023

well-organized and well-explained course! I really enjoyed learning by IBM!

By Padmanabham S

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Aug 9, 2023

This is a great course explains list of tools require based on application.

By José R R C

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May 2, 2023

Good experience. Appropriate theoretical framework and practical exercises.

By Tolulope I A

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Apr 23, 2023

This Course was fully Loaded. I got what I expected. Perfectly Excellent!!!

By Nancy T

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Oct 18, 2022

Excelent, I learned much and the teachers were patients with my questions

By Winner O

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Jul 18, 2022

I love the way we were able to practice what we learnt in the hands-on lab.

By Philip S B

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Aug 19, 2021

A very well-designed, adequately-resourced and engagingly-delivered course!

By Edward R A

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Mar 12, 2021

A hole new world....well tough ... needs an enormous amount of exercises...

By Enrique P

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Apr 2, 2020

Simple, effective and quick overview of the great tools for data analytics.

By Vibhor G

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Jan 15, 2020

Best Course for starting and have a look at the basics of coding languages.

By Venkatasai M G

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Jan 6, 2020

Good course for better exposure in open source tools used for data science.

By Stephen H

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Aug 9, 2019

Easy to learn and great tools that I had no idea existed until this course!

By Ozan A

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May 20, 2019

It gave a good basis on what kind of tools are being used for data science.

By Chris G

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Jan 2, 2019

Excellent introduction to relevant open source tools used in Data Science.

By Ramon M

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Sep 9, 2024

A useful course. It helps solidifying the concepts needed for data science