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
2,125 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:

426 - 437 of 437 Reviews for Exploratory Data Analysis for Machine Learning

By ValidaR

Dec 19, 2024

Lack of information

By Aryan S

Mar 9, 2025

na

By Zahra B

Dec 31, 2024

This course was a challenging experience, and I struggled to follow the instructor. The quality of the content was poor, with numerous references to unclear terms that were not explained adequately. The instructor mostly read directly from a presentation, adding little to no additional value. Without studying the material elsewhere, I would have been unable to grasp many of the concepts introduced. Overall, it was a disappointing experience, and I cannot recommend this course. Please, IBM, take the time to review and improve this course to ensure it meets the standards learners expect.

By Srujan a

Mar 6, 2025

I think I paid too much for teacher just reading slides and from the teleprompter. No efforts in explaining numerical or logical part of the course. I could understand a bit because I already studied this in college. Very disappointed and not for beginners.

By Hannan A

Feb 27, 2025

I have wasted my time and money. In this course an instructor just come and tell the topics name and nothing important (just waste your time). Its my advice to those who wanna join that please dont

By Renan d B L

Jun 28, 2024

The instructor does not have good teaching skills, and the classes do not convey the knowledge intuitively. I recommend that students take the courses from DeepLearning.AI, as they are much better.

By Emrah I B

Apr 16, 2024

its only a video showing how it works, there is so much stuff but we are not able to learn by doing instead we just need to listen and at after some time it gets boring and difficult to understand

By spandan c

Dec 5, 2024

The audio in this course was corrupted, I went through a couple of modules and could not hear the details properly so had to discontinue.

By Sinan, A R

Sep 27, 2024

poor instructor. rushed material. the slides were low quality

By Tuấn V A

Jan 8, 2025

i've got my coursera plus free trial but can not get cert

By MARILIA F

Aug 4, 2023

ainda não entendi o que é machine learning

By Lawrence P

May 6, 2024

need case studies