CRASH COURSES
ANALYTICS BASE
ADVANCED ANALYTICS
BASE ANALYTICS WITH R
ADVANCED ANALYTICS WITH R
BASE ANALYTICS WITH SPSS
ADVANCED ANALYTICS WITH SPSS
BASE ANALYTICS WITH SAS
ADVANCED ANALYTICS WITH SAS
QLIKVIEW
TABLEAU
BIGDATA AND HADOOP



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Advanced Analytics With R
Syllabus for Advanced Analytics With R
Multiple Regression Analysis using R:
  • Data preparation
  • Fitting linear regression model
  • Residual analysis
  • Alternative models and model selection
  • Introduction to logistic regression modeling
Time Series Modeling -1
  • Decomposition
  • Exponential Smoothing
  • Case Study
  • Assignment (done by participants)
Time Series Modeling-2
  • Box-Jenkins Methodology
  • Case Study
  • Assignment (done by participants)
Multivariate Techniques in R:
  • Principal component / Factor analysis
  • Segmentation - Cluster Analysis