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

4.6

stars

1,780 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

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Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.

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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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126 - 150 of 371 Reviews for Exploratory Data Analysis for Machine Learning

By Marwan K

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Oct 31, 2021

Thank you Coursera

Thank you IBM

Thank you to all intructors

By Mehrdad S

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Jul 21, 2022

this course is amazing .

I understand every thing

thanks lot

By Gianluca P

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Mar 19, 2021

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

By Jackson W

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Mar 1, 2024

Great overview of fundamental concepts of machine learning!

By Yahya A

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May 9, 2023

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

By Diego A

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Apr 30, 2021

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

By alexandret n

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Mar 21, 2024

Muito bom para querm esta começando com ciências de dados

By Priyabrata S

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Jul 1, 2023

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

By Alejandro B E

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May 12, 2024

Good course even for experienced students on the field

By Pierluigi A

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Nov 8, 2020

great course even for those who are not keen on coding

By Alexander A

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Aug 23, 2024

excellent course design with lots of labs and quizzes

By Bernard F

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Oct 29, 2020

I acquired excellent knowledge on the subject matter

By Nicholas W T

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Sep 29, 2022

Excellent instruction. Comprehensive and condense.

By Nicola M

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Sep 10, 2024

Extremely well done introduction to data analysis!

By DEVANI R

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Mar 10, 2022

this couse very east for understanding and usefull

By Waqar A

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Aug 25, 2023

Outstanding course content, Learned lot of things

By Ali G A H

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Jul 5, 2022

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

By Parth B

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Apr 5, 2023

Very helpful for BTech CSE in Bennett University

By Verny H M B

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Feb 6, 2023

Great review in statistics and python programing

By Muna S

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Sep 3, 2022

An exellent course it is so friendly i like it.

By Shawn G

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Jun 9, 2023

Excellent and challenging introductory course.

By sinan u

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Oct 9, 2021

this course very helpfull for EDA techniques

By Rorisang S

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Apr 30, 2021

I loved this course. Not intimidating at all.

By Sanjo S

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Jun 14, 2022

It was really great and awesome. Enjoyed it!

By Luong T H

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Dec 21, 2020

I have learned a lots about Machine learning