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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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151 - 175 of 483 Reviews for Exploratory Data Analysis for Machine Learning

By Nicholas W T

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Sep 29, 2022

Excellent instruction. Comprehensive and condense.

By Nicola M

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Sep 10, 2024

Extremely well done introduction to data analysis!

By DEVANI R

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Mar 11, 2022

this couse very east for understanding and usefull

By Waqar A

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Aug 26, 2023

Outstanding course content, Learned lot of things

By Ali G A H

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Jul 5, 2022

this is the best course i've take in this website

By Joshua O

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Jun 13, 2025

Very detailed, in-depth and simple to understand

By Ihsan U

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Jan 20, 2025

this was some amazing course to build my carrier

By Parth B

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Apr 5, 2023

Very helpful for BTech CSE in Bennett University

By Verny H M B

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Feb 6, 2023

Great review in statistics and python programing

By Muna S

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Sep 3, 2022

An exellent course it is so friendly i like it.

By Ananda k

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Oct 18, 2024

IT WILL GIVE BETTER UNDERSTANTING OF AL AND ML

By Shawn G

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Jun 9, 2023

Excellent and challenging introductory course.

By sinan u

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Oct 9, 2021

this course very helpfull for EDA techniques

By Rorisang S

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May 1, 2021

I loved this course. Not intimidating at all.

By JAYSWAL S B

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Jun 13, 2025

it is good course for learn machine learning

By MOHAMMED A R

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Nov 1, 2024

I had learned and gained a lots of knowledge

By Sawanapally B

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Oct 9, 2024

Very informative , explanation is very clear

By Sanjo S

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Jun 14, 2022

It was really great and awesome. Enjoyed it!

By Luong T H

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Dec 21, 2020

I have learned a lots about Machine learning

By Santiago D S

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Mar 30, 2021

Nice approach to exploratory data analysis.

By TRISHITA M

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Jul 9, 2023

This course is really very helpful for me.

By Cristian R

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May 25, 2021

Excelente curso para el análisis de datos!

By Nitish O

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Apr 26, 2023

Interesting course and Instructor. Thanks

By Anubhav P

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Sep 10, 2023

Nice experience with the Coursera course

By A2_31_danish

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Jun 15, 2023

i foret to write my name can i change it