Introduction to Analytics using SAS
- Introduction to Statistics
- Exploratory Data Analysis
- Simple Data Visualization
- Regression Analysis
- Logistic regression
- Discriminant Analysis
- Survival Analysis
- Simulations
- Optimizations
- Programming with SAS/SQL
- Model building Case studies with SAS
2. Introduction to Analytics using R
- Introduction to Statistics
- Hypothesis testing
- Data Exploration in R
- Regression Analysis in R
- Logistic regression
- Cluster Analysis
- Model building using R
- Association Rule Mining
- Decision Tree
- LDA/SVM/Random Forest Model
- Dimension Reduction – PCA
3. Credit Scorecard Development
- Introduction to Credit Risk
- Introduction to Credit Scorecards
- Scorecard Project Planning
- Development of Application/Behavioural Scorecards
- Reject Inference
- Model Validation
- Model monitoring
- Model implementation
4.Credit Risk Model Validation & Portfolio monitoring
- Model Validation best practices
- Model validation metrics used in BFSI
- Portfolio monitoring using risk baselines
- Validating PD, LGD & EAD Model
- Implementing Models in production
5. Marketing Analytics
- Direct Marketing Models
- Customer Lifetime Value models
- Loyalty models
- Cross sell/upsell modelling
- Market Mix modelling
- Segmentation Modelling
6.Pricing Analytics
- Optimal pricing of products
- Enterprise level price optimisations
- Revenue models
- Introduction to SAS OR
7. Operation & SCM Analytics
- Case studies on Shipment
- Inventory Forecasting
- order Management & CRM
8. HR Analytics
- Case studies in Hiring, Retention, Performance Evaluation models
9.Time Series Forecasting
- Introduction to time series data, data visualizations, theory of AR, MA, ARMA and ARIMA Models, Modelling ARIMA using R/SAS, Variance Forecasting (ARCH, GARCH Models using R, ECM Model