
Physical Activity - Analysis
Analysis of data collected by the Runkeeper application. The objective is to get information about the progress and performance over the years.
Data Science is in charge of analyzing, transforming data and extracting useful information for decision making. Thanks to Python, these tasks can be performed without advanced programming skills, with few lines of code and in friendly programming environments that facilitate programming and visualization of results.
Python is an interpreted, multi-paradigm, cross-platform programming language, mainly used in Big Data, AI (Artificial Intelligence), Data Science, testing frameworks and web development. This makes it a high-level general purpose language due to its extensive library, whose collection offers a wide range of facilities. It has become one of the top choices for doing Data Science due to its open source nature, its simplicity, the support of the developer community and its extensive library.
Analysis of data collected by the Runkeeper application. The objective is to get information about the progress and performance over the years.
Report on the development of the pandemic on a global scale. The trends and behavior of the virus throughout 2020 and 2021 are presented.
Manipulation, cleaning and exploratory analysis of banking data in order to create a machine learning model that can predict whether a credit card application made by an individual will be accepted or not.
Evaluation of the situation in Mexico City regarding the current pandemic. In this report we count and visualize the number of infections and deaths that have occurred in the country and in each state.
Exploratory analysis of the today major cryptocurrencies. Factors such as price and volume of each cryptocurrency and how they compare are visualized and compared.
Multiple linear regression model with the objective of predicting a company's sales revenue and to determine how it is influenced by its 3 types of advertising.