Course Outline

Module 1: Introduction to Big Data in Trade and Investment Intelligence

• Understanding Big Data and its economic applications

• Sources of trade and investment data

• Data-driven decision-making in global trade

• Overview of digital trade intelligence platforms

• Case Study: Data use in global investment promotion

Module 2: Data Collection and Management for Trade Analytics

• Structured vs. unstructured data in trade analysis

• Data extraction techniques and APIs

• Data cleaning and preparation for analysis

• Data governance and security considerations

• Practical Exercise: Preparing a trade dataset for analysis

Module 3: Trade Data Analytics and Visualization

• Analyzing trade flows and export patterns

• Market share and competitiveness indicators

• Data visualization techniques for economic insights

• Dashboard development for trade intelligence

• Workshop: Creating a trade analytics dashboard

Module 4: Artificial Intelligence and Machine Learning Fundamentals

• Introduction to machine learning concepts

• Supervised and unsupervised learning models

• AI tools used in economic analysis

• Applications of AI in forecasting and decision-making

• Case Study: AI in global market analysis

Module 5: Predictive Analytics for Trade and Investment

• Forecasting export demand and market growth

• Identifying investment opportunities through predictive models

• Risk analysis in international markets

• Scenario analysis for trade strategy

• Practical Exercise: Building a basic predictive model

Module 6: Investment Intelligence and Market Opportunity Analysis

• Analyzing foreign direct investment trends

• Investment competitiveness indicators

• Sector opportunity identification

• Benchmarking national investment performance

• Workshop: Investment opportunity mapping

Module 7: Digital Tools for Trade and Investment Intelligence

• Trade intelligence platforms and data portals

• Business intelligence tools and analytics software

• Integrating multiple data sources for insights

• Automating intelligence reports

• Exercise: Developing a digital trade intelligence workflow

Module 8: Risk Monitoring and Early Warning Systems

• Monitoring global economic risks

• Supply chain disruptions and trade shocks

• Early warning indicators for market changes

• Data-driven risk assessment

• Case Study: Trade disruption analysis

Module 9: Data-Driven Policy and Strategy Development

• Using analytics for trade policy formulation

• Evidence-based investment promotion strategies

• Data storytelling for policymakers

• Stakeholder communication using insights

• Workshop: Developing a policy intelligence brief

Module 10: Capstone Project – Trade and Investment Intelligence Strategy

• Developing a full trade and investment intelligence framework

• Integrating Big Data analytics and AI tools

• Presenting insights to decision-makers

• Peer review and expert feedback

• Final project presentation and certification exercise