Data Science Fundamentals

Course Content

Inferential Statistics Fundamental
Introduction: Inferential Statistics
Importance of Inferential Statistics
ANOVA (Analysis of variance)
Basics of Probability
Introduction to Probability
Conditional Probability
Types of Continuous Probability Distributions
Discrete Probability Distributions
Introduction: Discrete Probability Distributions
Probability Without replacement Experiment
Introduction to Cumulative Probability
Introduction to Binomial Distribution
Continuous Probability Distributions
Continuous Probability Distribution
Differentiate Between Discrete and Continuous Probability Distributions
Probability Density Function
Introduction - Normal Distribution
An introduction-Standard Normal Distribution
Central Limit Theorem
Introduction to Central Limit Theorem
Introduction to Sampling Distribution
Population and Sample
Estimating Mean Using Central Limit Theorem
Sampling Methods
Hypothesis Testing
Introduction to Hypothesis Testing
Null and Alternate Hypotheses

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