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
About the Author: Bhasker Gupta is a seasoned analytics professional with around a decade's experience in providing analytics consulting to the financial and retail industry. He is the founder and editor of the hugely popular online analytics publication Analytics India Magazine (www.analyticsindiamag.com). Considered a thought leader in the area of analytics, Bhasker has deep roots in the whole analytics ecosystem.
