Creating Features for Time Series Data

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  • Specialization Overview
    • In this module you get an overview of the courses in this specialization and what you can expect.
  • Course Overview
    • In this module you learn about the scope of this course and you access the software and files you will use for practices in the course.
  • Time Series Basics
    • In this module, you learn about converting transactional sequences to time series. Other topics include exploring signal components in time series via decompositions and binning, and creating new time series features.
  • Distance Measures
    • In this module you learn about the usefulness of distance or similarity measures between time series. Calculated distance measure are used as the basis in two analyses.
  • Spectral Analysis and Singular Spectrum Analysis (SSA)
    • In this module, we discuss and illustrate the basic ideas and applications in frequency domain analysis. We also discuss SSA and present demonstrations of applied SSA.
  • Motif Analysis
    • In this module you learn about detecting motifs in times series and their usefulness.
  • Course Review

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