Correlation in Statistics

Mean, Median, Mode (Central Tendency)

Range, Variance and Standard Deviation (Variability)

Data Visualization for Descriptive Statistics

Weighted Mean and Quartiles

Descriptive vs Inferential Statistics

Understanding Sets

Sets Operation

Introduction to Probability

Probability Technical Terms

Empirical Probability

Intersection and Union of events

Conditional Probability

Multiplication Rule

Addition Rule

Bayes Theorem

Fundamental of Counting Principles

Discrete Probability Distribution

Binomial Probability Distribution

Poisson Probability Distribution

Normal Probability Distribution

Standard Normal Distribution

Probability for Normal Distribution

Sampling

Sampling Distribution

Central Limit Theorem

Confidence Intervals

Calculating Confidence Interval

Introduction to Hypothesis Testing

Null vs Alternative Hypothesis

Type I and Type II Errors

Understanding Z Test

Critical value of z

Acceptance vs Rejection Region

Understanding P-value

Decision Maing with P-value

Statistics for Data Science – Conclusion