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

4.6

stars

2,477 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

Apr 23, 2024

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

Feb 25, 2023

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

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76 - 100 of 504 Reviews for Exploratory Data Analysis for Machine Learning

By Renato C M C

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Jan 22, 2023

Look, I'm very happy to do this training, thanks for the opportunity! Keep supporting and making room for us the less favored.

Thanks.

By My B

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Mar 31, 2021

This is a well-structured course with easy-to-understand lectures and practical examples that help a lot in real data analysis life.

By Rohit

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Jul 8, 2022

Very Clear ,Easy to Understand ,Good Explanation,Very Good Course.I just Upgrade myself doing this course.Thank you IBM Teachers :)

By Pankaj Z

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Apr 6, 2021

Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.

By Sol A

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Apr 13, 2022

Very clear and well structured. You can see that lots of time went into the preparation of the course. Kudos to the lecturer.

By Stephen C

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Jun 27, 2021

A great course. You'll want to brush up on your python if you don't have a lot of time to dedicate after starting the course.

By Ali A

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May 5, 2021

This course was very helpful.I have learned a lot about feature engineering,expolatoray data analysis and hypothesis testing

By Abdillah F

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Nov 7, 2020

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

By Nikolas R W

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Dec 8, 2020

Recommended course for those wanting to advance their understanding about Exploratory Data Analysis for Machine Learning.

By Amit K

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May 29, 2025

the sound is very low and i would have really liked if the mathematical theory would have been explained more intuitavly

By Shaji P

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Jun 13, 2023

This course is really great, even though people from non statistical background it is really hard to understand clearly.

By Matt t

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Mar 31, 2022

Much better than other IBM courses. Instructor explained things well and in detail so you can actually understand it.

By wissam m

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Apr 18, 2021

Best course very professional ,looking forward to complete the entire IBM Machine learning professional certificate

By Vivian E Z

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Jan 6, 2021

It was pretty good, just one of the reviewer gave me 0 points for some reason and I had to resubmit my assigment.

By Yohanes S

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Sep 5, 2021

I learned a lot throughout this course. Also, i have my own project through the assignment! Thank you, Coursera.

By Audrey M

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Oct 26, 2022

I found the explanations very concise (which is good) and direct. I enjoyed the activities' notebooks also!

By Bhagwan R

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Dec 1, 2022

I gained very good knowledge and learnt many new programs to explore and analyse data for machine learning.

By Yash P

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Apr 2, 2025

amazing sessions, clears every concept and doubt and very easy way to make students understand and learn

By Luis F O M

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Jan 18, 2023

Es un curso excelente! Me encantaron todos los temas que ví, definitivamente voy a seguir con los demas

By Heriberto A

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Dec 1, 2025

This course is a complete resource to undestand an apply machine learning techniques. Congratulations!

By Javier I T V

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Dec 21, 2022

A fantastic course, four weeks of full ideas, insights, and practices in machine learning. Wonderful!

By Alireza M

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Jul 9, 2021

This course was very practical. The final project of the course made me learn the material very well.

By Ranjith P

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Apr 13, 2021

I recommend this course to everyone who wants to excel in Machine Learning. This is a Great Course!

By Yevhenii R

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May 4, 2022

Nice and clear explanations. This course is excellent choice if you want to review basic concepts.

By Victor H A T

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Jan 2, 2022

Un excelente curso!, aunque hay que dedicar más tiempo del que dice en la descripción del curso