Introduction to Analytics Need for analytics Analytics use in different industries Business use of analytics Modeling, evaluation, and deployment Predictive versus descriptive analytics Types of analytic jobs. 2.Understanding Data types Data Collection, sampling, and preprocessing Data preparation Issues with data Data enrichment Data selection 3. Introduction to Basic Statistics Population and sample Probability Probability distributions 4. Hypothesis Testing Process of hypothesis testing Null and alternate hypothesis Statistical significance and test statistic Parametric and nonparametric test Types of errors 5. Correlation and Regression Correlation Linear regression Multivariate regression Logistic regression 6. Segmentation Customer segmentation Clustering techniques Case study 7. Advanced statistics ANOVA and ANCOVA Discriminant analysis Factor analytics Conjoint analysis 8. Predictive Modeling Selection of a modeling technique Decision trees Logistic regression
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