Python for Time Series Analysis

Welcome to Time Series Analysis

Welcome data scientist! You are now ready to learn all about Python for Time Series Analysis. Time series analysis is all about making predictions for time dependent datasets.

This workshop will provide you with the foundation you need to become a data scientist. After completing this workshop, you will be able to use Python to perform time series analysis. Specifically, you’ll learn: data characteristics, summary and usability, what is time series data trend and seasonality, Dickey-Fuller testing and estimating trend and seasonality, how to model your time series data using ARIMA, and how to use your model to make predictions.

Python for Data Science, Python for Data Visualizations, Python for A/B Testing, and Python for Data Preprocessing workshops are prerequisites for this workshop. If you don’t have any prior Python programming knowledge, it is highly recommended you complete those workshops first.