Introduction to predictive analytics, definition, Evolution of Data Analytics, Applications of predictive analytics, Predictive models: Propensity model, Clustering Model & Collaborative filtering; used cases on predictive analytics.
Time Series Data Analysis: Organizing and processing of data with R, Data Cleaning – Missing values, Outlier treatment, Pre-processing and cleaning and Univariate Analysis, ARIMA model for forecasting.
Understanding simple regression in R, Scenarios for using OLS regression, Computing the intercept and slope coefficient, Obtaining the residuals, Computing the significance of the coefficient. Correlation & R2, Multiple Linear Regression in R, Model building.
Introduction to Decision trees, Data pre-processing, Model building in R, Model comparison. Introduction to Logistic Regression: Interpreting the model parameters and assessing the impact of predictors on the probability of outcome.
Introduction, Structure of neural networks, Information flow, Types of layers, Training a neural network, Back Propagation, Neural networks in R. Introduction to other regression analysis Polynomial, Multiple linear, Poisson, Nonlinear and Nonparametric.
Reference Book:
1. Robert Stine, Dean Foster, "Statistics for Business: Decision Making and Analysis", Pearson Education, 2nd edition, 2013. 2. Turban, E., Aronson, J. E., Liang, T. P., & Sharda, R. (2010).Decision support and business intelligence systems (9th ed., p. 720).Prentice-Hall. 3. Berson, A., Smith, S. J., & F. (1997).Data Warehousing, Data Mining and OLAP (1st ed., p 640).Computing Mcgraw-Hill. 4. Han, J., &Kamber, M. (2000). Data Mining : Concepts and Techniques (1st ed., p. 550). Morgan Kaufmann 5. Robert Kabacoff, Second Edition (2015), Manning publications: R in Action Data analysis and graphics with R 6. U Dinesh Kumar, ―Business Analytics‖ Wiley India Pvt. Ltd publication, 2017 7. Dr. Umesh R. Hodeghatta and Umesha Nayak, Apresspublication : Business Analytics Using R - A Practical Approach 8. Jeffrey S. Strickland, Simulation Educators (2014) Predictive Analytics using R 9. Subhashini Sharma Tripathi, Apress publication, Learn Business Analytics in Six Steps Using SAS and R
Text Book:
Evans, J. R. (2013). Business Analytics: Methods, Models, and Decisions
