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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6

stars

2,433 ratings

About the Course

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

Apr 23, 2024

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

Nov 30, 2020

The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.

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276 - 300 of 494 Reviews for Exploratory Data Analysis for Machine Learning

By BERLIAN K

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Oct 27, 2025

nice course

By Durgadevi K

•

Oct 14, 2025

Very useful

By Osama O

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Aug 5, 2025

nice course

By Veeresh I

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Jul 7, 2025

Good Course

By Hanan A

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May 1, 2025

it was good

By Marran R

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Apr 20, 2025

was perfect

By Manthar S

•

Feb 24, 2025

it was good

By Nandana E C

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Jan 11, 2025

nice course

By CHANDRA B

•

Nov 17, 2024

Good Course

By Sagnik B

•

Nov 13, 2024

NIce course

By Maldev S C

•

Dec 13, 2023

First Class

By Suffiyan A

•

Feb 28, 2023

Great work!

By Lutvi A

•

Mar 3, 2022

very nice!

By Soha S

•

Jan 1, 2022

Thanks IBM

By Maxwell N

•

Sep 15, 2020

Nice course

By Brandon T V

•

Dec 23, 2024

very good

By Cristian S V

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Mar 3, 2023

Very good!

By Paola L S

•

Dec 2, 2022

Excelente.

By Chanthalee X

•

May 12, 2022

very nice!

By Cui Y

•

Jan 13, 2022

Thank you!

By Sohan S V

•

Nov 4, 2020

osm course

By Jose E V V

•

Aug 26, 2025

muito bom

By Ling L Z

•

Jun 25, 2025

VERY GOOD

By SHOAIB J

•

Feb 24, 2025

very nice

By Eman T

•

Jan 6, 2025

excellent