Find a workshopPay feeRequest a callbackVerify a certificate
AI · Moderate · Video-based learning

AI and Big Data in Business Economics

International Workshop on Harnessing Advanced Data Analytics for Economic Intelligence and Business Strategy

★ 4.1 (31 ratings)Access 24/7 · 365 daysVideo lectures of 3+ hrsCertificate
Registration open

About This Course

AI and Big Data in Business Economics is an international workshop designed to explore the synergy between advanced AI techniques and economic analysis. This program offers a hands-on introduction to machine learning, natural language processing (NLP), econometrics with AI, and data visualization techniques tailored for market behavior modeling, financial forecasting, and policy simulation.

Participants will work with real-world business and economic datasets, applying tools like Python (pandas, scikit-learn), Power BI, Tableau, and ML frameworks to uncover trends, derive actionable insights, and predict outcomes that influence business strategy and economic policy.

Aim

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.

Course Objectives

  • 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

Next: Syllabus →

Syllabus

📌 Day 1: AI & Big Data Foundations for Economic Insights
Theme: Exploring Data-Driven Economic Intelligence

  • 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

 Hands-On Activities:

  • 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
Theme: Building Predictive and Prescriptive Economic Models

  • 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

Hands-On Activities:

  • 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
Theme: From Insight to Implementation in Business & Policy

  • 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

Hands-On Activities:

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

Who Should Enrol?

  • 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

Course Outcomes

  • 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

Next: Fees →

Course fee

Learners in India

₹2,499

Learners outside India

$50

  • Video lectures
  • Study material
  • Certificate after completion
  • 365-day access

Enrol in the course

The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

How is this course taught?

Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.

How long do I have access?

365 days from your registration, on your NanoSchool dashboard.

Do I get a certificate?

Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
 WhatsApp +91 99581 61117

Enrol
Now
Explore

Registration open

More upcoming workshops

Live, mentor-led and certified. Dates and times in IST.

See all workshops

Stay Updated

Join our mailing list for exclusive offers and course announcements

Ai Subscriber

Support