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

4.6

stars

2,406 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.

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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401 - 425 of 483 Reviews for Exploratory Data Analysis for Machine Learning

By David F C O

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Aug 27, 2024

There are some algorithms over seaborn in deprecated

By CHIARA B

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Sep 18, 2021

A good background in math and some python is needed.

By Miguel D

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May 12, 2021

I wish the hypothesis part was a bit more detailed

By Jetal B

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Jan 6, 2025

The explanation could be more detailed and clear

By Rajshree K

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Oct 19, 2022

Very nice explaination....really very helpful

By DONG C

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Sep 9, 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

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Aug 5, 2025

Tres instructif

By Pampa D

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Apr 18, 2022

Good content.

By Harsh P

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Oct 21, 2023

informative

By Agnibha D R

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Apr 30, 2023

NIce Course

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

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Nov 23, 2024

good

By AISHWARYA R

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Nov 15, 2024

good

By VAKA C

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Nov 2, 2024

good

By Venkadesh R

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Sep 2, 2024

GOOD