Data Science

Hi, I have just finished a technical test on Codility for a mid level Data science role and it was terrible. So I want to know if it's just me or others have faced the same problem.

First the test had 2 parts. It was clear. The first part is housing dataset where they ask you to return some statistics using filters and a linear regression model. The second part was a classification task where they ask you to return a Keras model with specific parameters applied on image classification of corn and bananas or something like that. The both tasks were Python classes where you should write a method that return a dictionary type results.

It was easy but they gave me 1h45 which was not enough for me. Because in data science I explore the dataset first and see outputs for each query or analysis I do etc.

The other thing is that they mentioned that you can use your code editor if you want and what matters are the final code. So I had my code and it worked but once I paste it on their platform, it doesn't even pass and give me python errors not even related to the task. Which is insane because it works on my machine. When I read the error, it was something related to tuple and I assumed because they test automatically your code so if it doesn't follow a specific pattern it raises errors.

So my questions are : Is it enough time 1h45 for both tasks or not? Have anyone had an experience like that? Are all the data science technical test like that?