--Class

Jupiter notebooks can be found in these directories for a brief introduction to Data Analysis with Python.

First

This directory contains a basic introduction to the Python programming language, from variable declaration to the function handling and iteration.

Second

Code for managing data, creating Data Frames, and managing the Pandas library can be found in this directory.

Third

This directory contains code for handling and relationships between various DataFrames, as well as creating DataFrames for plotting. At the same time, it includes a brief, but complete, introduction to the use of the plotly library.

Data Analysis

Code about Data Analysis and Data Science

Assignment

The data sets and solution scripts needed to complete the assignments are found in this directory.

Data Analyst Project

This folder is to save the data analysis scripts and the presentation of results of the analysis carried out with the chosen data set. In my case, I worked with the Formula 1 World Championship dataset, which will also be found in said folder. Also, includes prediction scripts and the results of prediction work related to the database used.

Final Project

This Folder includes the final product. I worked on a PowerBi Dashboard of COVID-19 dataset in Mexico, which is also located in this folder in a subfolder called "Database".