Week 1: Foundations of Statistics & Data Exploration
- What is Statistics? Role in Data Analysis
- Types of Data (Categorical, Numerical, Ordinal, Continuous)
- Levels of Measurement (Nominal, Ordinal, Interval, Ratio)
- Introduction to Exploratory Data Analysis (EDA)
Hands-on: Basic descriptive analysis in Excel/SPSS
Week 2: Descriptive Statistics & Visualization
- Central Tendency: Mean, Median, Mode
- Measures of Spread: Range, Variance, Standard Deviation
- Data Distribution & Normal Curve
- Introduction to Outliers & Skewness
Hands-on: Histograms, Boxplots, Frequency Tables
Week 3: Probability & Inferential Statistics Basics
- Understanding Probability & Random Variables
- Sampling Techniques & Sample Size
- Introduction to Confidence Intervals
- Hypothesis Testing Concepts (Null & Alternative Hypotheses)
Hands-on: One-sample t-test in Excel/SPSS
Week 4: Applying Statistics to Data Analysis
- Correlation & Basic Regression Concepts
- Data Quality Assessment & Cleaning
- Statistical Storytelling (interpreting results for decision-making)
Case Study: Using statistics in business/research scenarios
Mini Project: Analyze a real dataset and present findings
