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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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101 - 125 of 483 Reviews for Exploratory Data Analysis for Machine Learning

By Anchal P

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Jul 19, 2021

The lectures were really helpful. Made my understanding of hypothesis testing more clear.

By -:THE P D :

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Jul 26, 2022

the cource was so useful and theoritical lessons and the practical ones are simillar

By B1_14_Dev C

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Jun 20, 2022

A briliiantly designed course which serves the exact purpose as the title indicates.

By Anvay R A

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Oct 12, 2020

Great....Very nice explanations of all things

I rate 5/5 ...Amazing course from IBM

By malaika s

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Jul 31, 2021

This course enhanced my knowledge and skills in Data Analytes. Thank You Coursera.

By Chani T

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Feb 26, 2025

comprehensive coursework to get a good understanding of exloratory data analysus

By khalid r

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Aug 8, 2022

One Of the Best Courses to Start a Data Analysis Journey for Machine Learning !

By Hassan S

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Oct 2, 2021

I love this course...best resource to get into data science and machine learning

By george s

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Aug 11, 2021

Excelent course!, just could have better examples in Hypothesis testing subject.

By Mahesh S

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Jul 12, 2022

Exploratory Data Analysis for Machine Learning

My First experience was awesome

By Roberto V

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Apr 8, 2021

Great course, focus on the statistical theory and applications. Good balance.

By Pablo V

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May 13, 2022

Un solido curso que abarca lo necesario para preparar la data para modelar.

By youssef g

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Mar 25, 2023

Great approach ,very interesting course for people starting in the ML world

By Mihreteab T M

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Mar 8, 2023

EDA is really like its name - it really shows ways to explore data farther.

By Pablo A M

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May 30, 2022

The material and explanations are clear and help to understand the concepts

By artem k

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Aug 3, 2021

This is a very strong and informative course, I enjoyed taking this course!

By Soumyojit S

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Oct 26, 2023

Good content for beginners for EDA thorough visual and statistical methods

By Cihan K

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Jun 5, 2022

It was a very useful training, thank you very much to the entire IBM team.

By Honglei Z

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Apr 6, 2022

informative and concise. The logic of this course is tight, and I like it

By Vicente W

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Apr 27, 2023

Buen curso introductorio de ML que además permite aprender a usar Python

By Masud K

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Aug 12, 2023

Excellent Statistics knowledges and skills in Machine learning platform

By Aswin D

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Sep 9, 2021

Very informative videos and had great experience learning the course.

By La M M

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Jul 23, 2025

Explanation of the Instructor, lecture of this course is really good

By Jose P

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Apr 24, 2024

Well orchestrated presentation of various ML topics and techniques.

By yogesh c

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Nov 3, 2022

It is best to Learn and incorporate technics in the business world.