Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM
About the Course
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.
426 - 450 of 495 Reviews for Exploratory Data Analysis for Machine Learning
By OMAR A A H
โขNov 1, 2020
Very well structured
By Karine T
โขAug 5, 2025
Tres instructif
By Pampa D
โขApr 18, 2022
Good content.
By Harsh P
โขOct 21, 2023
informative
By Agnibha D R
โขApr 30, 2023
NIce Course
By ADAM F
โขOct 23, 2025
good cours
By Gurung K (
โขSep 21, 2024
Buckle up!
By BHANDERI P C
โขJul 26, 2025
good !
By Gautam k
โขNov 23, 2024
good
By AISHWARYA R
โขNov 15, 2024
good
By VAKA C
โขNov 2, 2024
good
By Venkadesh R
โขSep 2, 2024
GOOD
By Ramesha G N
โขJul 23, 2024
good
By PATEL A S
โขAug 6, 2023
goog
By Raven M
โขAug 1, 2025
goo
By Disha R
โขApr 15, 2024
wow
By PATEL A N
โขJun 9, 2025
hi
By Gert-Jan D
โขJul 29, 2022
Potentially this is a great course, but it falls short on a number of points.
* Content is mixed and/or duplicated
* Lab exercises are mostly just demo's. The video's 'explain' no more than you can read in the notebooks.
* The videos show a 'talking head' that is clearly reading the text from a screen. Not very engaging.
* The explanations are not very clear.
It is possible to learn from this course, but then you will have to work on the demo's yourself (deleting the answers first) and read more clear explanations on the topics from other sources.
By Jose J S
โขOct 28, 2024
me parece que el instructor toca temas muy profundos con demasiada velocidad , no profundiza lo suficiente, yo por ejemplo debi invertir muchas horas leyendo complementos en wikipedia , lo que no es ideal pues son topicos muy densos y con mucho contenido matematico. la verdad considero que con este curso apenas logro entender muy superficialmente los conceptos de fondo.
By Eric J B
โขMar 27, 2024
I was disappointed by this course. The initial portions that focused on Exploratory Data Analysis were ok, but I thought more tools and techniques would be explored. As we progressed into hypothesis testing, the content got progressively weaker. It seemed like an attempt to cover some basic material but without the depth to be truly useful.
By Hossam G M
โขMay 27, 2021
The course material should be provided to allow better absorption of the large amount of information presented. some of the topics needs to be discussed further with more examples and concept declaration especially the hypothesis testing section.
By Ashwin R A R
โขJun 21, 2023
The videos seem to be outdated. The material is honestly not that engaging. For a beginners course this might be good. Different people have different tastes. The content itself is pretty good I'd say.
By Eloy V
โขFeb 24, 2025
Content scope is very interesting but many times I hoped the course would go into more detail. Lectures and labs tend to stay rather superficial so it's up you whether you want to dig a little deeper.
By Ivan P
โขSep 15, 2022
Non-working labs, a few incorrect sentences, some things are not explained well enough (At least I feel so), at least one duplicated video - it's not bad, but sloppy.
By Alexander S
โขJul 14, 2023
Too much focus on "feature engineering", which is high-school level math on the columns. Better if more focus on the statistical concepts and theoretical backgroud.