Predictive Modelling with R Training Course

  1. Artificial Intelligence (AI) Training
  2. Predictive Analytics Training
  3. Predictive Modelling with R Training Course

Course Code

predmodr

Duration

14 hours (usually 2 days including breaks)

Requirements

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

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

Course Outline

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

Related Categories

Related Courses

Programming with Big Data in RR FundamentalsData Analytics With RData Mining with RForecasting with RMachine Learning Fundamentals with RMarketing Analytics using RR for Data Analysis and Research Introduction to RIntroductory R for BiologistsRNeural Network in RAdvanced R ProgrammingR Programming for Data AnalysisBuilding Web Applications in R with Shiny

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