Month 17: Data Visualization and Exploration

Week 1: Introduction to Data Visualization

• Overview of Data Visualization
• Importance of Data Visualization in Data Science
• Types of Data Visualization

Week 2: Data Visualization Tools and Libraries

• Popular Data Visualization Tools and Libraries (e.g., Matplotlib, Seaborn, Tableau)
• Data Visualization Best Practices
• Interactive Data Visualization Techniques

Week 3: Exploratory Data Analysis (EDA)

• Summary Statistics and Measures of Central Tendency
• Correlation and Regression Analysis
• Hypothesis Testing and Statistical Inference
• Advanced EDA Techniques (e.g., Clustering, Dimensionality Reduction)

Week 4: Visualization for Machine Learning

• Visualizing Model Performance Metrics
• Visualizing Model Predictions and Decision Boundaries
• Visualizing Model Interpretability
• Advanced Visualization Techniques for Deep Learning