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

4.6
stars
1,972 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

HV

Nov 10, 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 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.

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126 - 150 of 401 Reviews for Exploratory Data Analysis for Machine Learning

By Brian H

Jun 10, 2024

Excellent course. Great foundation course on machine learning.

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.

By Jackson W

Mar 1, 2024

Great overview of fundamental concepts of machine learning!

By Yahya A

May 9, 2023

A beautiful course and I advice my friends to enroll in it.

By Diego A

Apr 30, 2021

muy buen curso es ágil y muy educativo, además de practico

By ALI S

Sep 28, 2024

It is great course containing a lot of useful information

By alexandret n

Mar 21, 2024

Muito bom para querm esta começando com ciências de dados

By Priyabrata S

Jul 1, 2023

This course is so good I got to know so many new things.

By Alejandro B E

May 13, 2024

Good course even for experienced students on the field

By Pierluigi A

Nov 9, 2020

great course even for those who are not keen on coding

By Alexander A

Aug 23, 2024

excellent course design with lots of labs and quizzes

By Bernard F

Oct 29, 2020

I acquired excellent knowledge on the subject matter

By Nicholas W T

Sep 29, 2022

Excellent instruction. Comprehensive and condense.

By Nicola M

Sep 10, 2024

Extremely well done introduction to data analysis!

By DEVANI R

Mar 11, 2022

this couse very east for understanding and usefull

By Waqar A

Aug 26, 2023

Outstanding course content, Learned lot of things

By Ali G A H

Jul 5, 2022

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

By Parth B

Apr 5, 2023

Very helpful for BTech CSE in Bennett University

By Verny H M B

Feb 6, 2023

Great review in statistics and python programing

By Muna S

Sep 3, 2022

An exellent course it is so friendly i like it.

By Ananda k

Oct 18, 2024

IT WILL GIVE BETTER UNDERSTANTING OF AL AND ML

By Shawn G

Jun 9, 2023

Excellent and challenging introductory course.