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

4.6

stars

2,485 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.

Feb 25, 2023

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

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426 - 450 of 504 Reviews for Exploratory Data Analysis for Machine Learning

By DONG C

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Sep 8, 2021

Better than other IBM ML certificate series

By Tania L

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Oct 19, 2021

Quite interesting course for beginners

By Vu T T

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Jun 22, 2023

It's a bit difficult to understand

By Chandan K G

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Jul 19, 2021

It was nice learning experience.

By Soumyadip C

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Mar 9, 2024

project submission is difficult

By Aryan T

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Sep 28, 2024

Please elaborate the labs more

By Harsh Y

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Aug 5, 2023

the course is very helpful..

By Shubarani S

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Mar 23, 2024

Its a fantastic platform

By IOVACCHINI F

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Aug 2, 2023

well explained subjects.

By OMAR A A H

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Nov 1, 2020

Very well structured

By Karine T

•

Aug 5, 2025

Tres instructif

By Pampa D

•

Apr 17, 2022

Good content.

By Harsh P

•

Oct 21, 2023

informative

By Agnibha D R

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Apr 30, 2023

NIce Course

By ADAM F

•

Oct 23, 2025

good cours

By Gurung K (

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Sep 21, 2024

Buckle up!

By BHANDERI P C

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Jul 26, 2025

good !

By Gautam k

•

Nov 23, 2024

good

By AISHWARYA R

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Nov 15, 2024

good

By VAKA C

•

Nov 2, 2024

good

By Venkadesh R

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Sep 2, 2024

GOOD

By Ramesha G N

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Jul 23, 2024

good

By PATEL A S

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Aug 6, 2023

goog

By Raven M

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Aug 1, 2025

goo

By Disha R

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Apr 15, 2024

wow