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Back to Exploratory Data Analysis for Machine Learning

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

4.6
stars
2,262 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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376 - 400 of 460 Reviews for Exploratory Data Analysis for Machine Learning

By Mehluli N

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May 23, 2025

It was important to put my prior knowledge into a proper context.

By Akhil M

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Dec 26, 2023

Really well-structured and easy to follow. Exercises are helpful.

By Rafael O D R

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Oct 6, 2022

It's a very good course, special mention to week 2 and 3.

By Daren L P

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Jun 28, 2022

I enjoyed the course, the example code/labs were awesome

By Hrishikesh G

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Aug 5, 2024

video should be made more engaging, but content was good

By Olivier F

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Oct 8, 2021

Good introduction and Exploratory Data Analysis course.

By David F C O

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Aug 27, 2024

There are some algorithms over seaborn in deprecated

By CHIARA B

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Sep 18, 2021

A good background in math and some python is needed.

By Miguel D

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May 12, 2021

I wish the hypothesis part was a bit more detailed

By Jetal B

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Jan 7, 2025

The explanation could be more detailed and clear

By Rajshree K

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Oct 19, 2022

Very nice explaination....really very helpful

By DONG C

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Sep 9, 2021

Better than other IBM ML certificate series

By Tania L

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Oct 19, 2021

Quite interesting course for beginners

By Vu T T

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Jun 22, 2023

It's a bit difficult to understand

By Chandan K G

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Jul 20, 2021

It was nice learning experience.

By Soumyadip C

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Mar 10, 2024

project submission is difficult

By Aryan T

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Sep 29, 2024

Please elaborate the labs more

By Harsh Y

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Aug 5, 2023

the course is very helpful..

By Shubarani S

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Mar 23, 2024

Its a fantastic platform

By IOVACCHINI F

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Aug 2, 2023

well explained subjects.

By OMAR A A H

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Nov 1, 2020

Very well structured

By Pampa D

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Apr 18, 2022

Good content.

By Harsh P

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Oct 22, 2023

informative

By Agnibha D R

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May 1, 2023

NIce Course

By Gurung K (

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Sep 21, 2024

Buckle up!