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

4.6

stars

2,491 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

Jul 17, 2025

More example in simplified way could help new learner to understand. Overall I really like this course. This help us to crack some of good area where I need to re-work .

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.

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301 - 325 of 507 Reviews for Exploratory Data Analysis for Machine Learning

By Cui Y

•

Jan 13, 2022

Thank you!

By Sohan S V

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Nov 4, 2020

osm course

By Abdulaziz

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Dec 14, 2025

Excellent

By Mohammed A

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Dec 14, 2025

Excellent

By Jose E V V

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Aug 26, 2025

muito bom

By Ling L Z

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Jun 25, 2025

VERY GOOD

By SHOAIB J

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Feb 24, 2025

very nice

By Eman T

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Jan 6, 2025

excellent

By Himanshi S

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Oct 5, 2024

excellent

By SUBROTO M

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Sep 20, 2024

Excellent

By Ignacio R J

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Aug 1, 2024

Excelente

By Victor M C

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Jun 5, 2024

very good

By Ghizlane A

•

Sep 13, 2023

thank you

By VICKY K

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Apr 29, 2023

AWESOME!!

By PRAVAT P

•

Apr 8, 2023

Wonderful

By Sri A K

•

Mar 8, 2023

Loved it

By Molini U

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Jan 18, 2023

excellent

By Rohit Y

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Jul 11, 2022

Excellent

By ABHIJIT B

•

Jan 25, 2021

Very good

By Vitor R

•

Nov 24, 2020

Awesome!!

By Jhosep S L C

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Sep 2, 2025

ok check

By OMKAR N C

•

Feb 22, 2024

All Good

By Rohit K

•

Jan 14, 2021

good one

By MD T I

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Jul 18, 2025

awesome

By Sourav K

•

Nov 7, 2024

awesome