Time Series Foundations – Univariate time series forecasting
The importance and impact of time series analysis and modeling techniques continues to grow. Customers in many industries like finance, healthcare, transportation, manufacturing, and entertainment use predictive analytics to identify patterns found in historical and transactional data to identify risks as well as opportunities.
However, modern time series data often pose significant challenges for the existing techniques both in terms of their structure and size.
In this session, you will learn:
- Why and when to use time series analysis.
- How to identify trends, seasonality decomposition, peak detections in time series data.
- Univariate time series forecasting – Build ARIMA and Holt-Winters model forecasts.
- How to generate and validate the performance of forecasting models.
Join Pavithra Rao, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on time series foundations.