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

4.6

stars

2,458 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 25, 2022

Great course. Just some concepts should be explained slowly and carefully but they are just skimmed through... overall a good course for EDA.

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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326 - 350 of 502 Reviews for Exploratory Data Analysis for Machine Learning

By rakesh g

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Jul 25, 2024

thanks

By lucas a

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Aug 15, 2023

gooood

By Shruti Y

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Feb 28, 2023

useful

By Hariom K

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Jan 18, 2022

Thanks

By Sathyaraj P

•

Aug 3, 2021

got it

By IZZAT I M

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Dec 4, 2025

GOODD

By WANDA P L

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Oct 25, 2025

keren

By Tamajit N

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Nov 7, 2024

Great

By 21_085 R E S

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Jun 2, 2024

Great

By Mohsen M

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Feb 3, 2024

10/10

By DAVID R

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Feb 27, 2022

goods

By William G G B

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Jan 17, 2022

Good

By Ali A A

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Oct 26, 2020

great

By Shiv O M

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Nov 29, 2025

Good

By MUHAMMAD H S

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Oct 27, 2025

good

By Aditi S

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Aug 17, 2025

good

By Rahul C

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Aug 15, 2025

good

By Trần M K

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Jul 14, 2025

good

By Sanchi C

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Jun 21, 2025

good

By Neema R

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Jun 8, 2025

good

By Ishan d

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Jun 6, 2025

good

By priyankar n

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Mar 21, 2025

Nice

By Khunakhan A

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Feb 6, 2025

imba

By Anurag T

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Feb 4, 2025

good

By Krishna K K

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Dec 21, 2024

good