Foundation Course on Machine Learning Driven Applied Business Analytics

This foundational course offers an extensive overview of business analytics and machine learning, starting with a motivational example to highlight the practical significance of analytics. It delves into various types of business analytics, including exploratory, descriptive, predictive, and prescriptive analytics. The course covers essential data fundamentals, addressing data types, sources, and common challenges such as format inconsistencies, missing data, and outliers, along with the identification and management of duplicate and redundant data. It introduces the Zero Code framework, enabling participants to leverage data science and machine learning without needing to code. Additionally, the course demonstrates the application of regression analysis on a sample dataset and introduces unsupervised learning methods and their applications. This structured approach ensures a comprehensive understanding of analytics and machine learning concepts, reinforced with practical examples and tool usage.