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

4.6

stars

2,421 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

Nov 30, 2020

The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.

Sep 21, 2021

Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

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326 - 350 of 487 Reviews for Exploratory Data Analysis for Machine Learning

By Ali A A

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Oct 26, 2020

great

By Aditi S

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Aug 17, 2025

good

By Rahul C

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Aug 15, 2025

good

By Trần M K

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Jul 14, 2025

good

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Jun 21, 2025

good

By Neema R

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Jun 9, 2025

good

By Ishan d

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Jun 7, 2025

good

By priyankar n

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Mar 21, 2025

Nice

By Khunakhan A

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Feb 7, 2025

imba

By Anurag T

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Feb 4, 2025

good

By Krishna K K

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Dec 21, 2024

good

By Диас А

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Dec 10, 2024

good

By SOMYA P

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Nov 25, 2024

good

By Gandham H

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Nov 13, 2024

good

By Ayuska S

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Oct 30, 2024

good

By Rudra P J

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Oct 8, 2024

Nice

By Sahil

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Sep 15, 2024

good

By shashank s

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Sep 7, 2024

good

By GUDITI J B

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Feb 29, 2024

Nice

By Chonchal K

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Dec 31, 2023

good

By Shivani S

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Oct 23, 2023

good

By Avijit B

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May 27, 2023

well

By Nurlan I

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Mar 25, 2023

s cd

By NIMALAN P

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Feb 4, 2023

good

By KASIREDDY A

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Nov 17, 2022

GOOD