Prognose Schulungen

Prognose Schulungen

Forecasting courses

Prognose Schulungsübersicht

ID Name Dauer Übersicht
24912 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
24089 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


Course Ort Schulungsdatum Kurspreis (Fernkurs/Schulungsraum)
ORACLE SQL Grundlagen Graz Mo, 2016-06-06 09:30 2693EUR / 3343EUR

Upcoming Courses

CourseSchulungsdatumKurspreis (Fernkurs/Schulungsraum)
Forecasting with R - HamburgMi, 2016-06-15 09:302040EUR / 2540EUR
Forecasting with R - MünchenDo, 2016-06-16 09:302040EUR / 2540EUR
Market Forecasting - Berlin Fr, 2016-06-17 08:001560EUR / 1960EUR
Market Forecasting - StuttgartMo, 2016-06-27 09:302080EUR / 2580EUR
Forecasting with R - HannoverMo, 2016-07-18 09:302040EUR / 2540EUR
Prognose Schulung, Prognose boot camp, Prognose Abendkurse, Prognose Wochenendkurse , Prognose Coaching, Prognose Seminar, Prognose Seminare, Prognose Privatkurs,Prognose Kurs, Prognose Lehrer