Methods for Time Series Analysis
Data Science · Further Education · Time Series Analysis
This unit introduces the fundamental methods for time series analysis, including autocorrelation, partial autocorrelation, time series decomposition, and forecasting. Students will learn how to apply these methods to analyze and forecast time-dependent data.
Zum Üben gibt es 50 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to time series analysis
- Types of time series data
- Stationarity and its importance
- Autocorrelation and partial autocorrelation
- Time series decomposition
- Forecasting methods
- Model evaluation and selection
Stichworte
- Time Series Analysis
- Autocorrelation
- Partial Autocorrelation
- Time Series Decomposition
- Forecasting
- Stationarity
- Trend
- Seasonality
- ARIMA Models
- SARIMA Models