IIRF Online > Business > Business Analytics & Intelligence > Business Analytics > Statistics Essentials for Analytics
Statistics Essentials for Analytics by Edureka
Skills you will learn!
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
Statistics Essentials for Analytics
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