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

4.6
stars
1,607 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

AE

Sep 26, 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.

ML

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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101 - 125 of 334 Reviews for Exploratory Data Analysis for Machine Learning

By Mahesh S

Jul 12, 2022

HI

Exploratory Data Analysis for Machine Learning

My First experience was awesome

By Roberto V

Apr 8, 2021

Great course, focus on the statistical theory and applications. Good balance.

By Pablo V

May 13, 2022

Un solido curso que abarca lo necesario para preparar la data para modelar.

By youssef g

Mar 25, 2023

Great approach ,very interesting course for people starting in the ML world

By Mihreteab T M

Mar 8, 2023

EDA is really like its name - it really shows ways to explore data farther.

By Pablo A M

May 30, 2022

The material and explanations are clear and help to understand the concepts

By artem k

Aug 3, 2021

This is a very strong and informative course, I enjoyed taking this course!

By Soumyojit S

Oct 26, 2023

Good content for beginners for EDA thorough visual and statistical methods

By Cihan K

Jun 5, 2022

It was a very useful training, thank you very much to the entire IBM team.

By Honglei Z

Apr 6, 2022

informative and concise. The logic of this course is tight, and I like it

By Vicente W

Apr 27, 2023

Buen curso introductorio de ML que además permite aprender a usar Python

By MASUD K

Aug 12, 2023

Excellent Statistics knowledges and skills in Machine learning platform

By Aswin D

Sep 9, 2021

Very informative videos and had great experience learning the course.

By yogesh c

Nov 3, 2022

It is best to Learn and incorporate technics in the business world.

By Cesar A R

Apr 14, 2023

Great course, I learnt a lot, I recommend it for everybody. Thanks

By GARVIT R

Aug 4, 2022

Very detailed and short course I learn basics of Machine learning.

By Erwin F R V

Jun 25, 2023

Very complete course, covering the necessary items for a good EDA

By KOUADIO A R

Aug 4, 2021

Cette formation pour moi est la meilleure pour un Data Analyst !

By Virgilio N

Apr 23, 2022

Great detail and explantion. Easy to follow. Highly recommended.

By serkan m

Apr 10, 2021

This was a great journey for me. Thanks for this awesome course.

By Eric N A

Mar 6, 2022

The instructor is very good and the instructions were fantastic

By Andrian R

Jul 6, 2021

Aku suka ini, ini sangat jelas terima, kasih kepada instruktur

By Marwan K

Oct 31, 2021

Thank you Coursera

Thank you IBM

Thank you to all intructors

By Mehrdad S

Jul 21, 2022

this course is amazing .

I understand every thing

thanks lot

By Gianluca P

Mar 19, 2021

Vry well organized. Explanations are clear and to the point.