Economic Analysis and Data Analytics
Monday, February 23, 2026
Category:Public Sector Management
3
Days
Dubai
9:00am – 4:00pm
Introduction
The underlying skills of data analysis encompass common patterns across every industry, but economic reasoning adds a unique layer. This course combines skills in programming, data gathering, and data management with econometric analysis. It brings together microeconomic analysis (strategic decisions), corporate finance (financial techniques), and data analytics (econometrics and big data). Aspiring analysts will gain practice in specific organisational contexts to prepare for unique job challenges.
Objectives
Upon completing this Economic Analysis and Data Analytics course successfully, participants will be able to:
- Apply economic models to business problems
- Identify contexts and applications of data in specific industries
- Implement conventional data analysis techniques and customising them
- How to utilise different types of data in different scenarios
- Analyse data with advanced statistical and econometric techniques
- Employ techniques of data analysis to form business strategies
- Apply computer programming and computing software to analysis of data
- Learn how to build a career in economics or data analysis
Training Methodology
This interactive program includes lectures, seminars, presentations, group discussions, assignments, and both qualitative and quantitative case studies. It follows the Do-Review-Learn-Apply model.
Organizational Impact
Organisations will benefit from:
- Employees who comprehend the context of economic principles
- Discussion and resolution of practical issues in data analytics
- Application of successful analytics techniques from case studies
- Institutional policies that resolve analytics issues
Personal Impact
Professionals will derive:
- Deepened theoretical knowledge of data systems
- Critical thinking skills for independent learning
- Improved preparedness for international adjudication environments
Who Should Attend?
- Management, Economics, and Consumer Studies professionals
- Environmental Sciences and International Development specialists
- PhD candidates and Professionals wishing to specialise in data analytics
- C-level executives and Decision-makers
- Government employees forming regulations
- Customer representatives
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