Statistics Essentials for Analytics

1. Introduction to Statistics and Basic Probability

Learning Objectives - At the end of this module, you will be able to understand Skewness, Modality, Measures of Center, Measures of Spread etc. You will also understand the relationship between these terminologies. You will also be able to analyze airlines data set to gather insights.

Topics - Statistics & Basic Probability - Sampling Methods, Measures of Center, Measures of Spread.

2. Basic Probability, Conditional Probability and Bayesian Inference

Learning Objectives - At the end of this module, you will be able to understand the rules of probability, learn about Disjoint and Independent events, understand the concept of probability, implement these concepts on a case-study. You will also learn and implement Bayes' Theorem and implement Bayes’ theorem on a case-study.

Topics - Conditional Probability & Bayesian Inference - Terms, Definitions, Examples, Concepts & Applications.

3. Distributions and Regression Modeling

Learning Objectives - At the end of this module, you will be able to understand Normal distribution, interpreting z-scores and calculating percentiles, Binomial Distribution, Mean and Standard deviation. You will also understand the Milgram Experiment.

Topics - Probability Distributions & Regression Modeling - Normal Distribution, Binomial Distribution, Linear Regression Model and Analysis.