Month 15: Data Preparation and Preprocessing

Week 1: Data Cleaning Techniques

• Overview of Data Cleaning
• Data Quality Assessment
• Handling Missing Values
• Outlier Detection and Treatment

Week 2: Data Transformation Techniques

• Data Normalization and Scaling
• Feature Engineering
• Feature Selection
• Data Reduction Techniques

Week 3: Data Integration Techniques

• Overview of Data Integration
• Schema Integration
• Entity Resolution
• Record Linkage

Week 4: Data Preprocessing for Machine Learning

• Data Preprocessing Techniques for Machine Learning
• Encoding Categorical Variables
• Feature Scaling for Machine Learning
• Handling Imbalanced Data