1. Mathematics and Statistics:

• Descriptive Statistics
• Inferential Statistics
• Probability Theory
• Multivariate Statistics
• Bayesian Statistics
• Time Series Analysis
• Survival Analysis
• Stochastic Processes

2. Data Exploration and Preprocessing:

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Outlier Detection and Handling
• Handling Imbalanced Data
• Dimensionality Reduction

3. Data Visualization:

• Data Visualization Techniques
• Interactive Data Visualization
• Geospatial Visualization
• Network Visualization
• Dashboard Development
• Storytelling with Data

4. Machine Learning:

i. Supervised Learning

• Regression