Course Outline

• Introduction to data tools & Techniques: Exploring the realm of data tools and techniques unveils a dynamic landscape where the precision of SQL meets the predictive power of machine learning.
• Introduction to probability & statistics: Embarking on a journey into probability and statistics opens the door to understanding the underlying patterns of randomness and order.
• A/B testing & Incrementality testing: Diving into A/B testing and incremental testing illuminates the path to data-driven optimization.
• Association rules: Association rules guide us through the intricate webs of data relationships, revealing hidden patterns and connections.
• Regression & Clustering: Regression and clustering stand as pillars in the analysis of data, mapping the unseen terrain between variables with precision