Course Overview

Advanced Data Science with Machine Learning is designed for those who have grasped basic data science concepts and are ready to deepen their expertise. The course begins with an in-depth look into SQL and relational databases, essential for handling structured data. It then transitions into applied statistics and probability, providing the backbone for understanding machine learning algorithms. Learners will explore various machine learning techniques, including regression and classification models, decision trees, random forests, and clustering. The course emphasizes practical applications and hands-on exercises to prepare students for real-world data analysis challenges. By the end, participants will be proficient in designing and evaluating predictive models and gain insights into the best practices of machine learning.