Predictive Modelling with R培训

课程编码

predmodr

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

This course is part of the Data Scientist skill set (Domain: Analytical Techniques and Methods).

课程概览

R是用于统计计算,数据分析和图形的开源免费编程语言。 R被企业和学术界内越来越多的管理人员和数据分析人员所使用。 R有各种各样的数据挖掘软件包。

Machine Translated

课程大纲

Problems facing forecasters

  • Customer demand planning
  • Investor uncertainty
  • Economic planning
  • Seasonal changes in demand/utilization
  • Roles of risk and uncertainty

Time series Forecasting

  • Seasonal adjustment
  • Moving average
  • Exponential smoothing
  • Extrapolation
  • Linear prediction
  • Trend estimation
  • Stationarity and ARIMA modelling

Econometric methods (casual methods)

  • Regression analysis
  • Multiple linear regression
  • Multiple non-linear regression
  • Regression validation
  • Forecasting from regression

Judgemental methods

  • Surveys
  • Delphi method
  • Scenario building
  • Technology forecasting
  • Forecast by analogy

Simulation and other methods

  • Simulation
  • Prediction market
  • Probabilistic forecasting and Ensemble forecasting

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