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

4.6
stars
2,412 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

BD

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.

AP

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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476 - 484 of 484 Reviews for Exploratory Data Analysis for Machine Learning

By Emrah I B

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Apr 16, 2024

its only a video showing how it works, there is so much stuff but we are not able to learn by doing instead we just need to listen and at after some time it gets boring and difficult to understand

By spandan c

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Dec 6, 2024

The audio in this course was corrupted, I went through a couple of modules and could not hear the details properly so had to discontinue.

By Ibraheem M

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Jul 7, 2025

concepts are too confusing. Just make it easier to grasp. too many 2nd hand terms that are inter related to other subjects.

By Frederic G

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Apr 2, 2025

There are so many ways to teach concepts and this one is among the most mediocre.

By Sinan, A R

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Sep 27, 2024

poor instructor. rushed material. the slides were low quality

By Tuấn V A

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Jan 8, 2025

i've got my coursera plus free trial but can not get cert

By TEJAS T D

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Apr 2, 2025

I did not receive my certificate of course completion

By MARILIA F

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Aug 4, 2023

ainda não entendi o que é machine learning

By Lawrence P

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May 6, 2024

need case studies