Foundations of Data-Driven Thinking

**Unlock the value of your manufacturing data with the *Foundations of Data-Driven Thinking*.**<br> This course targets a wide range of roles in industry and the public sector, such as decision-makers, engineering and technical specialists in design and production, and R&D personnel, who seek practical insight into how data-driven AI can be leveraged to create value in their organizations. Working hands-on with real industrial datasets, you’ll learn how to handle common manufacturing data types, such as sensor and time-series data, process and production logs, and quality and test measurements. You will apply methods to: - assess data quality and readiness (noise, drift, missing values, inconsistencies) - clean and prepare data for analysis - perform exploratory data analysis to reveal trends, relationships, and root causes - visualize and communicate insights in clear, decision-oriented ways. You’ll also learn how to use the gained insights to plan the next step in an analytics or AI initiative, such as building solutions for predictive maintenance, automated quality inspection, anomaly detection, scrap and yield improvement, process monitoring, or throughput and cycle-time prediction.