Data Preprocessing and Feature Engineering Masterclass (Structured & Unstructured Data)

This program provides a comprehensive masterclass covering both structured and unstructured data, emphasizing preprocessing, feature engineering, and dimensionality reduction. It combines numerical, categorical, and text-based preprocessing in a single, hands-on program, preparing participants to handle complex datasets for analytics, dashboards, or AI initiatives. 

The course focuses on practical, enterprise-ready techniques for cleaning, transforming, and optimizing data, ensuring that it is ready for machine learning, statistical modeling, or visualization. 

• Handle preprocessing of mixed structured and unstructured datasets. 
• Apply advanced feature selection and engineering methods. 
• Use dimensionality reduction techniques to simplify high-dimensional data. 
• Preprocess and vectorize text data for analytics and machine learning. 
• Build end-to-end preprocessing pipelines for enterprise datasets.