Time series analysis is an essential tool for data forecasting, allowing data analysts to make predictions about the future events and track relationships between data. In this liveProject, you’ll utilize the Python data ecosystem and time series analysis to analyze the spread of the COVID-19 virus in different parts of the globe.
Your goal is to make near-future predictions about virus spread based on your available data. You’ll start with an exploratory data analysis into the types of data you have access to, establishing the kind of questions it can reasonably answer. You’ll then develop an ARIMA model for time-series forecasting. Finally, you’ll develop an interactive Voilà dashboard using ipywidgets that will allow stakeholders to access and understand your analysis.
This project is designed for learning purposes and is not a complete, production-ready application or solution.