Introduction to Time Series – Python

Learning Outcomes

• Understanding the basics of time series analysis, identify and know how to transform a dataset into a time series, therefore being able to use them in different forecasting models
• Applications of time series forecasting in different industries, such as finance, economics, etc.
• Practical hands-on experience in time series analysis from dataset preparation, feature engineering, model training, model tuning, model-explainability and deployment

Participants attending this course are expected to be familiar with basic coding in Python. Do note that participants are required to bring their own laptops.

Registration is open to SDSC members. For enquiries, please contact joshua@nus.edu.sg.