Welcome, my name is Abdelilah Imam. I entered the Data Science field to explore my passion in tech and programming, but mainly its uses in the real world.
And there's no better way to do that than Data Science which includes: Coding, Analysis, Machine Learning ...
This project goes over a few different aspects of the Olympic games. These games debuted in 1896 and have since became very popular among all types of people, athletes and viewers alike.
My analysis includes two parts, the first is done in Python, in which i clean and visualize the data, and the second is a general visualization in form of a dashboard in Power BI
In this section i will insert every line of code i used to analyse, clean and prepare the data in order to reach the conclusion i did in the earlier sections.
The projects' code will be included here and so is the code for multiple small projects that helped me learn how to navigate the data.
This is my main project, in which i tried to combine different datasets that had important information about a few areas of the Olympics. As it is known 2021 was the year we enjoyed another event of the games, which were held in Tokyo, and as always we've seen a lot of happy, sad and awesome moments.
But unfortunatly i couldn't include other data that might help update the medal count for each athlete on some previous ones, and so the only thing updated is the medal count per each country.
In this section i will be going over a few datasets that i worked on before, and these gave me an idea about how the cleaning is done through having data that isn't 100% organized and then cleaning it, after analysing it and that's achieved by answering a few questions about the data.
I will also be mentioning some small codes i wrote to solve some problems in C programming language.