Real-world, practical application of statistical modeling; keeping theory at bay and business needs in the forefront.
Thanks Bernard and Iza. It was a very good course and I appreciate your work.
Shelly Kunkle - Michelin, North America
|mrkfct||Market Forecasting||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||Forecasting with R||14 hours||This course allows delegate to fully automate the process of forecasting with R Forecasting with R Introduction to Forecasting Exponential Smoothing ARIMA models The forecast package Package 'forecast' accuracy Acf arfima Arima arima.errors auto.arima bats BoxCox BoxCox.lambda croston CV dm.test dshw ets fitted.Arima forecast forecast.Arima forecast.bats forecast.ets forecast.HoltWinters forecast.lm forecast.stl forecast.StructTS gas gold logLik.ets ma meanf monthdays msts na.interp naive ndiffs nnetar plot.bats plot.ets plot.forecast rwf seasadj seasonaldummy seasonplot ses simulate.ets sindexf splinef subset.ts taylor tbats thetaf tsdisplay tslm wineind woolyrnq|
|Course||Course Date||Course Price [Remote / Classroom]|
|Forecasting with R - PA, Pittsburgh - Penn Center East Monroeville||Mon, Jul 10 2017, 9:30 am||$3580 / $5280|
|Market Forecasting - New York (NYC) - Midtown Manhattan - Madison & E38-39th||Mon, Jul 10 2017, 9:30 am||$3580 / $6180|
|Market Forecasting - VA, Fredericksburg - Central Park Corporate Center||Mon, Jul 10 2017, 9:30 am||$3580 / $5470|
|Market Forecasting - MS, Flowood - Market Street||Mon, Jul 10 2017, 9:30 am||$3580 / $4880|
|Forecasting with R - TX, Dallas - Downtown Republic Center||Tue, Jul 11 2017, 9:30 am||$3580 / $5290|
|Course||Venue||Course Date||Course Price [Remote / Classroom]|
|Apache Camel||CA, Sunnyvale - Downtown Sunnyvale||Tue, Jun 27 2017, 9:30 am||$3713 / $5963|
|MoDAF/NAF Introduction||AZ, Phoenix - 24th and Camelback||Tue, Jul 4 2017, 9:30 am||$1980 / $3270|
|Haskell Fundamentals||KY, Louisville – Ormsby III Forest Green||Thu, Jul 13 2017, 9:30 am||$3015 / $4715|
|jBPM for Process Designers||IN, Indianapolis - Lockerbie Marketplace||Tue, Sep 12 2017, 9:30 am||$6444 / $9274|