Accounting Data Analytics

  1. Predictive Analytics: Forecasting What Will Happen
    1. Predictive Modeling Foundations
      1. Predictive vs. Descriptive Analytics
        1. Model Selection Criteria
          1. Training and Testing Data
            1. Cross-Validation Techniques
            2. Regression Analysis Techniques
              1. Simple Linear Regression
                1. Model Assumptions
                  1. Parameter Estimation
                    1. Model Diagnostics
                    2. Multiple Linear Regression
                      1. Variable Selection
                        1. Multicollinearity Detection
                          1. Model Interpretation
                          2. Logistic Regression
                            1. Binary Classification
                              1. Odds Ratio Interpretation
                                1. Model Evaluation
                                2. Advanced Regression Techniques
                                  1. Polynomial Regression
                                    1. Ridge Regression
                                      1. Lasso Regression
                                    2. Time-Series Analysis and Forecasting
                                      1. Time-Series Components
                                        1. Trend Component
                                          1. Seasonal Component
                                            1. Cyclical Component
                                              1. Irregular Component
                                              2. Forecasting Methods
                                                1. Moving Averages
                                                  1. Exponential Smoothing
                                                    1. Holt-Winters Method
                                                      1. ARIMA Models
                                                      2. Forecast Accuracy Measures
                                                        1. Mean Absolute Error
                                                          1. Mean Squared Error
                                                            1. Mean Absolute Percentage Error
                                                          2. Classification Models
                                                            1. Decision Trees
                                                              1. Tree Construction
                                                                1. Pruning Techniques
                                                                  1. Feature Importance
                                                                  2. Naive Bayes Classification
                                                                    1. Bayes' Theorem Application
                                                                      1. Assumption Validation
                                                                      2. Model Evaluation Metrics
                                                                        1. Accuracy Measures
                                                                          1. Precision Calculations
                                                                            1. Recall Calculations
                                                                              1. F1-Score
                                                                                1. ROC Curves
                                                                              2. Clustering Analysis Applications
                                                                                1. K-Means Clustering
                                                                                  1. Centroid Selection
                                                                                    1. Optimal Cluster Number
                                                                                    2. Hierarchical Clustering
                                                                                      1. Agglomerative Methods
                                                                                        1. Divisive Methods
                                                                                        2. Cluster Validation Techniques
                                                                                          1. Customer Segmentation Applications
                                                                                            1. Transaction Segmentation Applications

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                                                                                          5. Diagnostic Analytics: Understanding Why It Happened

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                                                                                          7. Prescriptive Analytics: Determining What Should Be Done