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Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.
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Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.
By Sarath B S
•Nov 25, 2020
This is a real useful course which helps even a rookie to understand the nuances when it comes to Artificial Intelligence, Machine Learning. Interpreting Data etc.,
Subjects were taught well by the experts. I thoroughly enjoyed the learning session.
By Pooranjoy B
•Jun 10, 2023
This course is exceptionally the best one if you are complete beginner to Machine Learning. They'll start of from the basics/scratch and take to to intermediate/mastery level. I highly recommend this course if you're complete beginner.
By Orah S
•Jan 22, 2021
Very! very!! interesting course, I really enjoy it, I will continue to put more effort into acquiring new skills as much as possible. Thank your IBM and Coursera for giving me this opportunity to learn through this platform.
By Bishmer S
•Jan 25, 2021
Thorough, clear video lectures, and good, meaningful exercises. An excellent introduction to the topic of Exploratory Data Analysis and figuring out the general characteristics of any given dataset and its features.
By Chien N
•Jun 16, 2021
A solid introduction to data analysis. There is a small note: the instructor uses a new version of pandas. If your notebook produces errors which are not suppose to appear, please update your pandas library.
By Luis P S
•Apr 17, 2021
Excelente como primera iniciativa en el mundo de Coursera empezar IBM. Claras las explicaciones de todos los videos. Muy buenos notebooks para el seguimiento de los temas aprendidos. Excelente!
By ASIFIWE E
•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.
By CHAN C P
•May 26, 2023
The instructor are great to demo and teach what it is. He sounds professional and the notebook are useful and the example are essential with guiding the questions 1 by 1.
By Bikram B D
•Apr 24, 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.
By VARUN B 2
•Jun 9, 2021
Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.
By Chris B (
•Aug 2, 2021
This course was really good for me because it went into depth on what I believe is the most important part of ML which is the data analysis and preparation.
By ksenia g
•Nov 5, 2022
Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.
By Amir P
•Feb 26, 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.
By Tùng N
•Nov 4, 2022
Very helpful for beginner but must have some basic knowledge on python and other libraries such as sklearn, spicy, pandas, etc,....
Thanks very much!
By Aman K
•Aug 13, 2021
This is by far the best course I've encountered. It has an in-depth explanation of the codes they provide. Smooth and easy to understand language.
By konutek
•Dec 7, 2020
The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.
By Marcel A N
•Sep 22, 2023
The course content is very elaborate and fantastic. Thank you so much IBM, this is just what i've been browsing the internet looking for.
By Shanza A
•Oct 17, 2022
I have learnt a lot of success artificial intelligence supervised machine learning hypotjesis testing Bayesian testingLtesting eeteetcet
By Aleksandr K
•Dec 5, 2020
I really liked, that you need to spend time on the independent work which consists of data preprocessing, EDA, and hypothesis testing.
By Renato C M C
•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
•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
•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
•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 Suliman A
•Apr 12, 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
•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.