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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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176 - 200 of 334 Reviews for Exploratory Data Analysis for Machine Learning

By fakhar h

Apr 6, 2023

The course is well designed.

By ehsan r

Nov 2, 2022

it is the best online course

By Yashraj T

Oct 3, 2022

Great To learn the concepts

By đạt n

Mar 12, 2022

Very detailed course for EDA

By Oussama L

Nov 22, 2022

I don't need tis formation

By Garrett T

Jun 18, 2022

Great course for beginners

By Andrey G

Jun 5, 2021

Great materials to learn.

By manish k g

Feb 11, 2021

it was a nice experience .

By Thach T T ( H

May 30, 2023

This course is so great !

By AMENALLAH B

Mar 29, 2023

I really like this course

By sanket g

Aug 8, 2022

Excellent Lab Work.

Thanks

By David G

Aug 3, 2021

awesome course. Love it

By morteza a

Jul 8, 2023

perfect perfect perfect

By Tayfun K

Jul 12, 2022

Thank you. It was great

By Sharjeel J

Feb 6, 2024

very Execelent course

By Rocio M L

Dec 13, 2023

exactly what I needed

By Arthur M

Mar 6, 2024

Ótima a experiência

By RAJIB K

May 29, 2023

it's a good course.

By ali p

Jan 31, 2022

it's a great course

By VEERAMREDDY N K R

Oct 27, 2021

Good course on EDA

By Volodymyr

Jul 6, 2021

Very good! Thanks.

By Sai M R P

Oct 28, 2022

Very informative

By HAYTOUMI A

Oct 17, 2021

Very Nice Course

By Puja S

Aug 27, 2022

Really nice one.

By Deepak K S

Dec 15, 2021

Excellent course