AI and Big Data in Business Economics

To empower business professionals, economists, analysts, and researchers with the tools and frameworks needed to apply Artificial Intelligence and Big Data analytics in solving complex economic and business problems, driving intelligent strategy, forecasting, and policy-making.

• Build cross-functional expertise across economics, AI, and big data

• Enable data-driven, AI-powered economic modeling and policy design

• Provide hands-on skills in tools like Python, Power BI, Tableau, and ML libraries

• Promote responsible and transparent use of data in decision-making

• Prepare participants to lead innovation in economic intelligence and strategy

📌 Day 1: AI & Big Data Foundations for Economic Insights

• Understanding the shift from classical economic modeling to AI-based forecasting
• Identifying and sourcing real-time economic and business datasets (World Bank, IMF, UNCTAD, Statista APIs)
• Fundamentals of data pipelines, feature engineering, and data transformation
• Overview of essential tools: Python, R, Jupyter, Pandas, Power BI

• Live coding session: Cleaning and transforming real-world economic data
• Practical: Economic indicator mapping using Python & Excel
• Visual analytics using Power BI/Tableau for trade, inflation, and fiscal trends

📌 Day 2: Advanced AI for Forecasting, Strategy & Market Intelligence

• Developing forecasting models (ARIMA, LSTM, Prophet) for GDP, inflation, FDI flows
• AI-based classification for business risk and consumer behavior segmentation
• Introduction to Natural Language Processing (NLP) for policy document and sentiment analysis
• Applications of Transformer models (BERT) in analyzing economic surveys and budgets

• Model training lab: Build & validate economic forecasting models in Python
• Predicting inflation rates using LSTM and Prophet with IMF datasets
• Sentiment analysis: Budget speech classification using NLP pipelines

📌 Day 3: Strategic AI Systems, Dashboards & Ethical Economics

• Building scalable AI pipelines for business economics using cloud tools (Azure, Colab, MLFlow)
• Integrating AI into business intelligence dashboards for CFOs and policy units
• Principles of explainable AI, fairness, accountability in economic applications
• Overview of global regulations: OECD AI Principles, RBI AI Guidelines, EU AI Act

• End-to-end build: Real-time economic dashboard using Streamlit/Power BI
• SHAP & LIME lab: Interpreting AI models in economic decision-making

• Gain practical experience in applying AI to business and economic data

• Use machine learning for forecasting and predictive modeling

• Apply NLP for sentiment and behavioral analysis in financial markets

• Visualize key metrics for stakeholders using real-time dashboards

• Receive a certificate of proficiency in AI for Business Economics

• Business economists and economic analysts

• Finance and investment professionals

• Data scientists in corporate strategy or consulting

• Policy researchers and academic scholars

• UG/PG/PhD students in economics, business analytics, or data science