Creating Features for Time Series Data
by Coursera
Learn to extract features from time series data using binning, smoothing, spectral analysis, and motif detection. Ideal for data scientists and analysts on Coursera.
Why this course
- Covers rare but valuable topics like singular spectrum analysis and motif detection
- Practical focus on feature engineering enhances real-world data science workflows
- Well-structured modules that build progressively from basics to advanced methods
- Uses industry-relevant techniques applicable in forecasting and anomaly detection
