Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM
About the Course
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 det...
Top reviews
HV
Nov 11, 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 27, 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.
351 - 375 of 450 Reviews for Exploratory Data Analysis for Machine Learning
By Eduardo B
•Nov 28, 2023
Ciência de dados evoluiu, teria que ter um curso nocode para essa certificação, ou uma certificação nocode, Com uso do Knime ou Weka por exemplo
By Sawan G
•Jul 26, 2022
Great course. Just some concepts should be explained slowly and carefully but they are just skimmed through... overall a good course for EDA.
By Aditya M
•Dec 18, 2020
Good introduction. The time estimates to complete assignments are off.
Need a lot more material and direction for assignments to aid learning.
By Dany D C
•May 2, 2021
I know some basic statistics knowledge is required, but sometimes the analysis story is unconnected, and sometimes make the story confusing.
By JORGE M B
•Dec 10, 2021
The course is good. What it lacks to get the 5 stars is to be able to download the slides of the classes or to have a documentation.
By Arunav C
•Oct 1, 2020
It is a really insightful and interactive learning experience. Furthermore, the trainers and coaches were very knowledgable.
By Gautam D
•Jul 31, 2022
It was good course which help me to understand data cleaning , Feature engineering , EDA , and basic of statistics .
By 9580_Vansh_Thakkar
•Nov 28, 2023
The Week 4 was too hard to understand for beginners in Machine Learning/ Data Science related Statistics.
By David
•Jul 31, 2024
Really good introduction, it can improve with better references than wikipedia to deepen in the subjects
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 9, 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 Regular
•Dec 29, 2024
Some videos has poor quality , but overall information is definetly useful
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 F C O
•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.