Curriculum

6 Topics
Understand various data types
Learn Various variable types
List the uses of variable types
Explain Population and Sample
Discuss sampling techniques
Understand Data representation

5 Topics
Uses of probability
Need of probability
Bayesian Inference
Density Concepts
Normal Distribution Curve

4 Topics
Point Estimation
Confidence Margin
Hypothesis Testing
Levels of Hypothesis Testing

5 Topics
Association and Dependence
Causation and Correlation
Covariance
Simpson’s Paradox
Clustering Techniques

5 Topics
Parametric Test
Parametric Test Types
Non- Parametric Test
Experimental Designing
A/B testing

6 Topics
Logistic and Regression Techniques
Problem of Collinearity
WOE and IV
Residual Analysis
Heteroscedasticity
Homoscedasticity

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Statistics Essentials for Analytics

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