Data Analytics for Industry
Theoretical Background of the Program
The Data Analytics for Industry course focuses on the importance of big data and its analysis in improving industrial processes and making evidence-based decisions. This course is based on the concept that data is one of the most important assets contributing to enhanced efficiency and the achievement of growth and sustainability goals in industrial organizations. The program aims to equip participants with the necessary skills to collect and analyze industrial data, and to apply various analytical techniques to extract patterns and trends that help improve performance, reduce costs, and increase productivity. The course includes the use of modern data analysis tools and applications, such as artificial intelligence and machine learning techniques, in addition to studying practical case studies for applying analytics in areas such as quality management, predictive maintenance, and supply chains.
General Objective of the Training Program
1. Enhancing the ability to use data to make informed decisions.
2. Developing data analysis skills and applying them in industrial contexts.
3. Improving efficiency and productivity through big data analytics.
4. Applying data analytics tools in real production environments.
Main Topics of the Training Program
Introduction to Data Science and the Fundamentals of Analysis
Applications of Predictive Analytics in Improving Production Efficiency
The Role of Digital Transformation in Enhancing Data Utilization in Industry
Industrial Data Collection and Cleaning
Advanced Analytical Techniques in Industry
Target Audience for the Training Program
Operations managers and production engineers.
Data analysts and quality managers.