Understanding forecasting methods and accuracy metrics, analyzing patterns in time series data, and applying trend analysis to reach insightful conclusions about data.

Designed to investigate the relationship between wet traction performance, noise level, and customer purchasing likelihood.

Coursera R Course Project 2

The aim of the present work is to analyze the productivity of companies within the S&P 500 Index by sector, with a specific focus on the Healthcare sector. This analysis is based on various variables derived from a data set obtained from https://www.kaggle.com/, which contains real-time financial data that is continuously updated. The goal is to identify which variables are directly related to a company’s productivity index, as well as to determine which sectors are the most productive within the S&P 500. The Healthcare sector was chosen as a reference, as it aligns with my MBA focus in Health Systems.