Dr. Mohamed Ibrahim

Goals and objectives

Time series is a collection of data over time periods. It could be data collected from sensors, econometrics, or even sales revenues. Analyzing such serieses helps in building insights from finding correlations among variables and forecasting future values. In this tutorial we will explore how to use Python in performing time series analysis. It would cover topics of multivariate analysis, handling missing values, time series decomposition, data visualization, cross and auto correlation, ARIMA forecasting model, RNN and LSTM forecasting models.

Prerequisites

Basic knowledge in statistics and Python