Introduction to Statistics
Basics of Statistics: Definitions and Terminologies
Importance of Statistics in Various Fields
Types of Data and Levels of Measurement
Descriptive vs. Inferential Statistics
Essential Statistical Concepts
Probability Theory and its Applications in Statistics
Sampling Techniques and Sampling Distributions
Central Limit Theorem and its Implications
Statistical Measures: Measures of Central Tendency,
Dispersion, and Skewness
Statistical Analysis Techniques
Hypothesis Testing: Concepts, Types, and Steps
Parametric vs. Non-parametric Tests
Analysis of Variance (ANOVA)
Regression Analysis: Simple and Multiple Regression
Time Series Analysis and Forecasting
Advanced Topics in Statistics
Bayesian Statistics and its Applications
Experimental Design and Analysis
Multivariate Analysis: Factor Analysis, Cluster Analysis,
etc.
Non-Linear Regression and Generalized Linear Models
Statistical Software and Tools for Data Analysis
Real-World Applications of Statistics
Applications of Statistics in Business, Economics, and
Finance
Statistical Analysis in Healthcare, Medicine, and Public
Health
Statistical Methods in Social Sciences, Psychology, and
Education
Statistics in Research and Data-driven Decision Making