I have taken the Python3 Engineer Certified Data Analysis Exam. https://www.pythonic-exam.com/exam/analyist
The result passed 900 points out of 1000 points The passing score was 700 points, and if I got 70%, it seemed to pass. (As of June 20, 2020)
By the way, the specifications of the examinees are as follows.
Reading official text A new textbook for data analysis using Python
Conducting a mock test Python 3 Engineer Certification Data Analysis Practice Test
It's a personal impression, but it's pretty easy. If you are a person who is doing data analysis work in practice, it is a level that you can pass even if you just take a mock exam.
This is also a personal impression, but I feel that it is quite thin knowledge as an AI engineer or machine learning engineer. For example, knowledge related to data preprocessing does not feel like living knowledge with academic manual knowledge. There was some knowledge that the foundation is the foundation, but it seems that it is a foundation that does not need to be remembered as a practical base.
To be honest, I think that you can get a lot of living knowledge by looking at the following articles on a practical basis. What you need to learn to really understand machine learning from [Kaggle] 0-Take a top-notch data scientist as an example-
It's better to do it than not study for someone like me who has a background as an IT engineer, but it's better to acquire living knowledge based on contests such as kaggle. It is an impression that it may be.