Time Series Feature Mining and Creation
In this course, you learn about data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.Learn how to
Who should attendAnalysts with a quantitative background as well as domain experts who would like to augment their time-series tool box
Before taking this course, you should be comfortable with basic statistical concepts. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. Familiarity with matrices and principal component analysis are also helpful but not required.
This course addresses SAS/ETS, SAS Studio, SAS Visual Forecasting software.
Calculation of Time Series Characteristics