We always receive a lot of promotional offer, that we may think have no impact on our purchasing decision. That’s true?
Is Data Science able to optimize the strategy in order to sell more frappuccino?
We are going to analyze a simulated Starbucks data set, were promotional offers are sent to users, and then transaction and offers completion are saved. Offer can be of different types: simply informational, or discount, or buy one get one free, ...
Some users might not receive any offer during certain weeks, and not all users receive the same offer, and that is the challenge…
A new role is emerging in our brave new world, the Data Scientist!
What skills are needed, and which of them you have to improve, if you are or you want to be one of them?
I’ve got a question in mind in these days: can I consider myself a Data Scientist? To find an answer I looked at 2019 data from python developer survey published by Jetbrains: 46217 people participated, and one of the question was:
Do you consider yourself as a Data-Scientist?
So I analyzed the dataset, trying to understand:
I am a biomedical engineer, I like technology and software, from data science to web developmentc, but also comics and boardgames, walking, swimming, friends!