Spotfire Data Analysis for Battery Manufacturing and Engineering

In the rapidly evolving energy sector, analyzing battery performance and manufacturing data is critical for engineering success. This text-based course guides you through Spotfire, the industry-standard data visualization and analysis tool, specifically tailored for secondary battery data. You will transition from manual data sorting to building automated, insights-driven dashboards that streamline engineering decisions. By working through practical scenarios, you will learn how to structure raw battery test data, detect anomalies, and visualize key performance indicators like charge-discharge cycles and degradation rates. You will also explore modern data preparation techniques and basic predictive concepts to keep your skills current with modern engineering workflows. What you'll learn: - Understand foundational Spotfire concepts, interface navigation, and data structures. - Import and clean complex secondary battery test logs and manufacturing datasets. - Create interactive dashboards to track capacity retention, efficiency, and cycle life. - Apply data transformation and filtering techniques to isolate battery performance trends. - Analyze charge-discharge curves and identify anomalies using built-in statistical tools. - Design clear, professional visualizations that communicate engineering insights to stakeholders. This course begins with essential terminology and data concepts before guiding you through structured, text-based analytical exercises. You will learn to manage, visualize, and interpret battery data step by step. This course is designed for beginners, engineers, and data analysts entering the energy sector. No prior experience with Spotfire or battery chemistry is required. Start reading today to unlock the power of data-driven battery engineering.