SAS 'n' Stats

We have covered and would cover following SAS statistical Procedures under this section :

1. Hypothesis Testing
        a. T-Test
        b. ANOVA
        c. Chi-Square Test
        d. Errors in Hypothesis Testing

2.  Cluster Analysis
        a.   Ready Reckoner - Complete Session
        b.   Hierarchical Clustering - Part 1 - Video Tutorial (Theory part)
        c.   Hierarchical Clustering - Part 1 - Video Tutorial  (SAS hands on session)
        d.   K-Means Clustering - Part 1 - Video Tutorial (Theory part)

        e.   K-Means Clustering - Part 1 - Video Tutorial  (SAS hands on session)
        f.   Difference between K-Means and Hierarchical Clustering - Usage Optimization

        g.  Forming cluster with categorical data

3.  Linear Regression

     Ready Reckoner - Complete Session
     Linear Regression - Video Tutorial 1 - Theory
     Linear Regression - Video Tutorial 2 -  Basics
     Seasonality Index and Trend Variables

4. Logistic Regression

    a.  Part 1 - Theory
    b.  Part 2 - How to dot it ?

    c.  Part 3 - Result interpretation
    d.  Variables Reduction Technique ( WOE and IV concept)

    e.  What do beta coefficients of Logistic Regression say ?

    f.   Concordance was never so simple to understand !

5.    Variable Reduction Techniques (Covers Factor Analysis , Principal Component Analysis and 
 Variables Clustering)

6.  Time Series forecasting

Time Series Forecasting - Part 1 (Explaining theory of Time Series)

Time Series Forecasting - Part 2 (Single Exponential Smoothing using SAS, R and Excel

Time Series Forecasting - Part 3 (Double Exponential Smoothing using SAS, R and Excel)


Time Series Forecasting - Part 4 (Triple Exponential Smoothing using SAS, R and Excel)

Time Series Forecasting - Part 5  (ARIMA using SAS)

7.  Linear Conjoint Analysis

8.  Discriminant Analysis

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