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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,106 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

DE

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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876 - 900 of 4,751 Reviews for Tools for Data Science

By Emilio B

May 7, 2020

Buen curso para ver todas las posibilidades que hay en cuanto a herramientas.

By Manula V

Apr 2, 2020

Very helpful to understand different IDEs that can be used for data analysis.

By Luis A P G

Nov 28, 2019

An excellent introduction to IBM Watson, RStudio, Jupyter notebooks and more!

By LAURA T G

Oct 7, 2019

Very useful

I had to work really hard, so I've got so much knowledge from here

By Vamsi K

Oct 4, 2018

Very useful open source tools that can be used for data science and analytics

By Subodha G

Sep 11, 2024

Highly quality content and recommend for anyone who interest in Data Science

By Jacques B

Nov 27, 2023

I really enjoyed this course eventhough there was so much information shared

By shubham s

Aug 24, 2023

This Course will give you introduction about the tools used in Data Science.

By Isaiah B

Mar 24, 2023

Packed with knowledge and plenty of opportunities to use the skills learned.

By MUHAMMAD S

Dec 4, 2022

Great Course for understanding how to use different tools for data Science.

By Kiran P T

Aug 15, 2020

In this course, I used various different functionality of IBM Watson Studio.

By Tzvi

Jun 25, 2020

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

By Rishabh g

May 10, 2020

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

By Kapil D

May 6, 2020

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

By Andrés I A B

May 5, 2020

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

By bibek s s

Apr 11, 2020

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

By Filipe A S

Oct 17, 2019

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

By Sukrut D

Mar 23, 2019

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

By ShuTong

Nov 27, 2018

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

By Vincent L

Sep 13, 2018

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

By Muhammad A

Nov 25, 2023

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

By Shima N

Aug 14, 2023

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

By Padmanabham S

Aug 9, 2023

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

By José R R C

May 2, 2023

Good experience. Appropriate theoretical framework and practical exercises.

By TOLULOPE I A

Apr 23, 2023

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