BIG DATA ANALYTICS ONLINE TRAINING COURSE

SESSION 1

    • Introduction to Data Science
    • Analytical Terminology, Analytical Methodology
    • Introduction to SAS, R, R-studio interface
    • Data Collection, Creating Datasets
    • Reading Data From External Files (.Txt, .Xls, .Csv) — Tasks
    • Data Exploration: Proc Print, Proc Contents —Tasks
    • Data Exploration: ProcGchart, ProcGplot —- Tasks
    • Data Exploration: Statistical Terminology
    • Data Exploration: Understanding Probability
    • Data Exploration : Analyzing Categorical Data (ProcFreq) — Tasks
    • Data Exploration : Hypothesis, Types of Errors
    • Data Preparation: Arranging the data: Proc Sort, Proc Format-Tasks
    • Data Preparation: Keeping, Dropping, Renaming, Transposing
    • Data Preparation: Using SAS Functions  — Tasks
    • Data Preparation: Conditional Processing, By group Processing -Tasks
    • Data Preparation: Combining Data sets — Tasks
    • Data Preparation: Do-Loops, Arrays
    • Statistics: ProcFreq
    • Statistics: ProcTtest, ProcAnova
    • Proc Npar1way

SESSION 2

    • Data Mining: Introduction
    • Introduction to Regression: ProcCorr, ProcReg
    • Dimensionality Reduction Techniques: Proc Factor
    • Dimensionality Reduction Techniques: ProcPrincomp
    • Dimensionality Reduction Techniques: ProcDiscrim
    • Clustering: Introduction
    • Clustering case study — Task
    • Association Rules — Introduction
    • Association Rules — Case study: Task
    • Density Estimation: Proc KDE

SESSION 3

  • ProcReg: Case study — Task
  • ProcReg: Model Diagnostics  — Task
  • Introduction to Logistic Regression
  • Proc Logistic  -Case study, — Task
  • Introduction to Decision Trees
  • ProcDtree, Case study — Task
  • Introduction to SVM, Naive Bayes, Case study
  • Introduction to Neural nets,
  • Neural Nets – the Case study
  • Introduction to KNN, Case study  — Task
  • Introduction to Bagging and Boosting
  • Ensemble methods Case study
  • Reinforcement Learning

SESSION 4

  • Introduction to Time series
  • Proc Arima — Case study — Task
  • Introduction to Text Analytics
  • Sentiment Analysis in R — Case study
  • Introduction to Optimization
  • Optimization — Case study

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