Foundations of Data-Driven Thinking

Education facts

Code: T2GIDT

**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.

Entry requirements

Academic degree of at least 180 ECTS credits within Engineering and/or Technology or passed courses of at least 40 credits in the main field of study within Engineering and/or Technology and at least 1 year of work experience in the manufacturing industry or at least 4 years of work experience in the manufacturing industry. Proof of English proficiency is required.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Foundations of Data-Driven Thinking

  Jönköping University

  Jönköping

  Start date: 5 October 2026

  End date: 8 November 2026

  Pace of study: 33 %