Prognose Schulungen
Forecasting courses
Prognose Schulungsübersicht
| Code | Name | Dauer | Übersicht |
|---|---|---|---|
| mrkfct | Marktprognose | 14 hours | Audience This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting. Description This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data. It uses standard tools like Microsoft Excel or some Open Source programs (notably R project). The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...) Problems facing forecasters Customer demand planning Investor uncertainty Economic planning Seasonal changes in demand/utilization Roles of risk and uncertainty Time series methods Moving average Exponential smoothing Extrapolation Linear prediction Trend estimation Growth curve Econometric methods (casual methods) Regression analysis using linear regression or non-linear regression Autoregressive moving average (ARMA) Autoregressive integrated moving average (ARIMA) Econometrics Judgemental methods Surveys Delphi method Scenario building Technology forecasting Forecast by analogy Simulation and other methods Simulation Prediction market Probabilistic forecasting and Ensemble forecasting Reference class forecasting |
| frcr | Prognosen mit R | 14 hours | This course allows delegate to fully automate the process of forecasting with R Prognosen mit R Dateninspektion Plotten in R Datentransformationen Korrektur nach Kalendertagen Korrektur nach demografischen Daten Einfache Vorhersagemethoden Naive Methode Mittelwerte Drift Methode Saisonale Methode Vorhersagegenauigkeit auswerten Häufig verwendete Benchmarks Aufteilung in Trainings- und Testdatensätze Kreuzvalidierung Regression Lineare Regression Multiple Regression Regression von Zeitreihen Exponentielles Smoothing Einfaches exponentielles Smoothing Lineare Trendmethode nach Holt Exponentielle Trendmethode Gedämpfte Trendmethode Saisonale Methode nach Holt-Winters ARIMA Autoregressive Modelle Modelle mit beweglichen Mittelwerten Nicht-saisonale ARIMA-Modelle Saisonale ARIMA-Modelle |
Kommende Kurse
| Course | Schulungsdatum | Kurspreis (Fernkurs / Schulungsraum) |
|---|---|---|
| Forecasting with R - Bern | Do, 2017-11-02 09:30 | 2040EUR / 2540EUR |
| Forecasting with R - Basel | Do, 2017-11-02 09:30 | 2040EUR / 2540EUR |
| Market Forecasting - Zürich | Do, 2017-11-02 09:30 | 2080EUR / 2580EUR |
Other countries
Consulting
Prognose Schulung, Prognose boot camp, Prognose Abendkurse, Prognose Wochenendkurse
, Prognose Seminare,Prognose Kurs, Prognose Coaching, Prognose Privatkurs, Prognose Training, Prognose Seminar
