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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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126 - 150 of 483 Reviews for Exploratory Data Analysis for Machine Learning

By Cesar A R

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Apr 14, 2023

Great course, I learnt a lot, I recommend it for everybody. Thanks

By GARVIT R

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Aug 4, 2022

Very detailed and short course I learn basics of Machine learning.

By Erwin F R V

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Jun 25, 2023

Very complete course, covering the necessary items for a good EDA

By KOUADIO A R

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Aug 4, 2021

Cette formation pour moi est la meilleure pour un Data Analyst !

By Virgilio N

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Apr 23, 2022

Great detail and explantion. Easy to follow. Highly recommended.

By serkan m

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Apr 10, 2021

This was a great journey for me. Thanks for this awesome course.

By Eric N A

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Mar 6, 2022

The instructor is very good and the instructions were fantastic

By John 3

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Jun 10, 2024

Excellent course. Great foundation course on machine learning.

By Andrian R

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Jul 6, 2021

Aku suka ini, ini sangat jelas terima, kasih kepada instruktur

By Marwan K

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Oct 31, 2021

Thank you Coursera

Thank you IBM

Thank you to all intructors

By Mehrdad S

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Jul 21, 2022

this course is amazing .

I understand every thing

thanks lot

By Gianluca P

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Mar 19, 2021

Vry well organized. Explanations are clear and to the point.

By Farzana A M

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Dec 20, 2024

This course is beneficial for starting machine learning. ..

By Jackson W

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Mar 1, 2024

Great overview of fundamental concepts of machine learning!

By Yahya A

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May 9, 2023

A beautiful course and I advice my friends to enroll in it.

By Diego A

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Apr 30, 2021

muy buen curso es ágil y muy educativo, además de practico

By Vivek S Y

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Jul 23, 2025

Very informative with a solid foundation and applications

By ALI S

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Sep 28, 2024

It is great course containing a lot of useful information

By alexandret n

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Mar 21, 2024

Muito bom para querm esta começando com ciências de dados

By Priyabrata S

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Jul 1, 2023

This course is so good I got to know so many new things.

By Alejandro B E

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May 13, 2024

Good course even for experienced students on the field

By Pierluigi A

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Nov 9, 2020

great course even for those who are not keen on coding

By Alexander A

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Aug 23, 2024

excellent course design with lots of labs and quizzes

By Bernard F

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Oct 29, 2020

I acquired excellent knowledge on the subject matter

By gunjan v

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Dec 23, 2024

The course was tremendous and its a great learning!