Predicting Disease Outbreaks with Time Series Analysis

Notes on Manning (https://www.manning.com/) live project on Predicting Disease Outbreaks with Time Series Analysis

In this liveProject, Python is used to perform time series analysis on the spread of the COVID-19 virus in different parts of the globe. The goal is to make near-future predictions about virus spread based on the available data.

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This project is composed of 4 parts:

1. Exploratory data analysis

Overview of the different types of data available and identify the kind of questions it can reasonably answer.

2. Regional Analysis

Analysis of a specific country.

3. Time Series Forecasting

Development of an ARIMA model for time-series forecasting.

4. Voilá dashboard

Generating and deploying an interactive Voilá dashboard from a Jupyter notebook.

Live project predicting-disease-outbreaks