Back to Exploratory Data Analysis for Machine Learning

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.

Filter by:

276 - 300 of 502 Reviews for Exploratory Data Analysis for Machine Learning

By moses k

•

Mar 16, 2022

Great course

By RAHUL G

•

May 31, 2021

nice course!

By Nelson M

•

Dec 15, 2020

Eye opening!

By FAIRUZ A G

•

Nov 26, 2025

good lesson

By Abhishek

•

Nov 22, 2025

Good course

By BERLIAN K

•

Oct 27, 2025

nice course

By Durgadevi K

•

Oct 13, 2025

Very useful

By Osama O

•

Aug 5, 2025

nice course

By Veeresh I

•

Jul 7, 2025

Good Course

By Hanan A

•

May 1, 2025

it was good

By Marran R

•

Apr 20, 2025

was perfect

By Manthar S

•

Feb 23, 2025

it was good

By Nandana E C

•

Jan 10, 2025

nice course

By CHANDRA B

•

Nov 16, 2024

Good Course

By Sagnik B

•

Nov 13, 2024

NIce course

By Maldev S C

•

Dec 12, 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 22, 2024

very good

By Cristian S V

•

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!