Time Series Analysis
Distance Learning · Further Education · Advanced Data Science and Analytics
This unit introduces the concepts and techniques of time series analysis, a specialized field in data science that focuses on analyzing and forecasting time-dependent data. Students will learn how to identify patterns, trends, and seasonality in time series data, and how to use statistical models to make predictions.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Time Series Analysis
- Components of Time Series Data
- Stationarity and Differencing
- Trend Analysis
- Seasonality Analysis
- Autocorrelation and Partial Autocorrelation
- ARIMA Models
- SARIMA Models
- Forecasting with Time Series Models
- Evaluation of Time Series Forecasts
- Challenges and Limitations of Time Series Analysis
Stichworte
- Time Series Analysis
- Forecasting
- Time-Dependent Data
- Statistical Models
- Seasonality
- Stationarity
- Autocorrelation