Data Driven Decision Making AI and Excel in Statistical Analysis

The course "Data Driven Decision Making: AI and Excel in Statistical Analysis" aims to equip learners with the knowledge and practical skills necessary to make informed, evidence-based decisions in today’s data-driven business environment. The primary objective of the course is to help participants understand how data, statistics, and artificial intelligence can be effectively integrated into managerial and financial decision-making processes, moving beyond intuition-based judgments.
The scope of the course covers the complete decision-making cycle—from understanding different types of managerial decisions (strategic, tactical, and operational) to applying statistical techniques using Microsoft Excel and AI-enabled tools. Learners gain hands-on experience with data analysis, descriptive and inferential statistics, scenario analysis, and decision frameworks, as well as the application of AI features in Excel to enhance analytical efficiency. Ethical considerations, data privacy, and the limitations of AI are also addressed to ensure responsible use of technology.