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

4.6

stars

2,543 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

Nov 23, 2021

The course is exceptional and a huge learning opportunity for Exploratory Data Analysis. The final project is the best part of the course and helps to apply the concepts to real life data.

Nov 4, 2022

Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.

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226 - 250 of 515 Reviews for Exploratory Data Analysis for Machine Learning

By vasan p

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Jun 5, 2024

Great Learning Experience

By Thach T T ( H

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May 30, 2023

This course is so great !

By AMENALLAH B

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Mar 29, 2023

I really like this course

By sanket g

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Aug 8, 2022

Excellent Lab Work.

Thanks

By Subham D

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Mar 6, 2025

Best course very helpful

By David G

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Aug 3, 2021

awesome course. Love it

By morteza a

•

Jul 8, 2023

perfect perfect perfect

By Tayfun K

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Jul 12, 2022

Thank you. It was great

By Sairaj L A

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Dec 17, 2025

Highly Recommended...!

By I P W

•

Mar 25, 2025

Very good and worth it

By Alejandro M

•

Sep 13, 2024

Very good introduction

By JEEVANESH.S

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Jul 10, 2025

Very Good explanation

By Sharjeel J

•

Feb 6, 2024

very Execelent course

By Rocio M L

•

Dec 13, 2023

exactly what I needed

By Nandhini P

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Oct 14, 2025

Very usefull session

By Poornimaa K

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Dec 15, 2024

Interesting to learn

By Sabarigirisan� N

•

Dec 14, 2024

Very Valuable Course

By NAVIN K G

•

Oct 18, 2024

Good Cource for me .

By Ranganath B

•

Oct 28, 2025

Excellent course+++

By Arthur M

•

Mar 6, 2024

Ótima a experiência

By RAJIB K

•

May 29, 2023

it's a good course.

By ali p

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Jan 31, 2022

it's a great course

By Max S

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Oct 13, 2025

Very good teacher!

By VEERAMREDDY N K R

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Oct 27, 2021

Good course on EDA

By Volodymyr

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Jul 6, 2021

Very good! Thanks.