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Compare time series predictions of COVID-19 deaths
  • Level Intermediate
  • Duration 2 hours
  • Offered by

About

By the end of this project, you will learn how to perform the entire time series analysis workflow for the daily COVID-19 deaths. This workflow includes the following steps: how to examine time series data, prepare the data for analysis, train different models and test their performance, and finally use the models to forecast into the future. You will learn how to visualize data using the matplotlib library, extract features from a time series data set, and perform data splitting and normalization. You will create time series analysis models using the python programming language. You will create and train four time series models: SARIMAX, Facebook prophet, neural networks and XGBOOST.

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This intermediate-level course, offered by Coursera, focuses on performing comprehensive time series analysis on daily COVID-19 death data. Spanning 120 minutes, it equips learners with essential data science and AI skills. The course is free and ideal for those looking to enhance their predictive analysis expertise.