In today’s data-driven world, the ability to analyze and visualize data is essential for making informed decisions. However, for many, the complexity of data analysis and the vast array of visualization options can feel overwhelming. This session is designed to demystify the process, making data analysis and visualization accessible and engaging for beginners and intermediates alike. Participants will the SOAR model to understand how to approach data analytics systematically, utilize the five analytic types (descriptive, diagnostic, predictive, prescriptive, and advanced/autonomous analytics), and create compelling visualizations that communicate insights effectively.

Learning Objectives: By the end of this session, participants will be able to:

-Understand the key concepts of data analysis and its importance in decision-making.

-Navigate through common types of data analysis techniques, including descriptive, diagnostic, prescriptive, and predictive analysis.

-Gain proficiency in visualization techniques to tell a clear, impactful story with data.

-Apply best practices for choosing the right type of visualization for different data types and analytical goals.

-Demystify the process of interpreting data trends and patterns.