Chevron Left
Back to Exploratory Data Analysis for Machine Learning

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.

Filter by:

326 - 350 of 401 Reviews for Exploratory Data Analysis for Machine Learning

By Mahmudul F A A

Nov 6, 2020

In week 2, the lessons were a bit in rush and it would be better to have a bit more detailed discussion.

By Bay W

Jan 8, 2023

It was ok, the information covered was helpful and plentiful, but the instructing was kinda meh.

By Medha J

Mar 14, 2022

Very Nice course , will teach you in detail all the techniques of EDA with practical code.

By Aravind S

Apr 11, 2022

Was able to learn and practice many topics in this course. Very useful for Data Analysis.

By Sebastian N

May 16, 2022

Good instructor, good knowledge level, minor mistakes in some of the notebooks provided.

By Kirti S

Aug 26, 2022

Great examples, nice explaination, labs were the best! Thanks for this course.

By Joseph F

May 2, 2022

Good introduction. Quiz questions mostly on terminology and not understanding.

By Roberta D

Apr 13, 2022

Very interesting course, good for getting ideas to deepen the topic!

By Akhil M

Dec 26, 2023

Really well-structured and easy to follow. Exercises are helpful.

By Rafael O D R

Oct 6, 2022

It's a very good course, special mention to week 2 and 3.

By Daren L P

Jun 27, 2022

I enjoyed the course, the example code/labs were awesome

By Hrishikesh G

Aug 5, 2024

video should be made more engaging, but content was good

By Olivier F

Oct 7, 2021

Good introduction and Exploratory Data Analysis course.

By David C

Aug 27, 2024

There are some algorithms over seaborn in deprecated

By CHIARA B

Sep 18, 2021

A good background in math and some python is needed.

By Miguel D

May 12, 2021

I wish the hypothesis part was a bit more detailed

By Rajshree K

Oct 19, 2022

Very nice explaination....really very helpful

By DONG C

Sep 9, 2021

Better than other IBM ML certificate series

By Tania L

Oct 19, 2021

Quite interesting course for beginners

By Vu T T

Jun 22, 2023

It's a bit difficult to understand

By Chandan K G

Jul 19, 2021

It was nice learning experience.

By Soumyadip C

Mar 9, 2024

project submission is difficult

By Aryan T

Sep 28, 2024

Please elaborate the labs more

By Harsh Y

Aug 5, 2023

the course is very helpful..

By Shubarani S

Mar 23, 2024

Its a fantastic platform