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

4.6
stars
2,373 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聽 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 聽 Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience聽 with Machine Learning and Artificial Intelligence in a business setting. 聽 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

HV

Nov 11, 2024

With my background on probability and statistics, I think this is a good course, where it can help me apply what i have learned. Not recommend for any one who hasn't taken a statistics course before.

AE

Sep 27, 2021

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

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276 - 300 of 482 Reviews for Exploratory Data Analysis for Machine Learning

By CHANDRA B

鈥�

Nov 17, 2024

Good Course

By Sagnik B

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Nov 13, 2024

NIce course

By Maldev S C

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Dec 13, 2023

First Class

By Suffiyan A

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Mar 1, 2023

Great work!

By Lutvi A

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Mar 3, 2022

very nice!

By Soha S

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Jan 2, 2022

Thanks IBM

By Maxwell N

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Sep 15, 2020

Nice course

By Brandon T V

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Dec 23, 2024

very good

By Cristian S V

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Mar 3, 2023

Very good!

By Paola L S

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Dec 3, 2022

Excelente.

By Chanthalee X

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May 13, 2022

very nice!

By Cui Y

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Jan 13, 2022

Thank you!

By Sohan S V

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Nov 4, 2020

osm course

By Jose E V V

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Aug 27, 2025

muito bom

By Ling L Z

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Jun 26, 2025

VERY GOOD

By SHOAIB J

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Feb 24, 2025

very nice

By Eman T

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Jan 6, 2025

excellent

By Himanshi S

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Oct 6, 2024

excellent

By SUBROTO M

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Sep 20, 2024

Excellent

By Ignacio R J

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Aug 2, 2024

Excelente

By Victor M C

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Jun 5, 2024

very good

By Ghizlane A

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Sep 14, 2023

thank you

By VICKY K

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Apr 30, 2023

AWESOME!!

By PRAVAT P

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Apr 8, 2023

Wonderful

By Sri A K

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Mar 9, 2023

Loved it