AI and Big Data in Business Economics

Introduction to the Course

Course Objectives

• Understand the principles of sustainable development and the role of green innovations in achieving them.
• Acquire knowledge of fundamental renewable energy technologies and their application in the transition to a low-carbon economy.
• Develop hands-on expertise in green innovation approaches in the areas of energy, buildings, transport, and industry sectors.
• Acquire basic skills in sustainability assessment, including carbon footprinting, efficiency, and life cycle thinking.
• Investigate policy, funding, and delivery mechanisms for renewable energy and green innovation projects.
• Acquire skills to design and deliver practical sustainability solutions for organizations and communities.

What Will You Learn (Modules)

Module 1: AI & Big Data Foundations for Economic Insights

• Transitioning from traditional economic models to AI-based forecasting.
• Sourcing and integrating real-time economic/business datasets (World Bank, IMF, UNCTAD, Statista APIs).

Module 2: Advanced AI for Forecasting, Strategy & Market Intelligence

• Developing forecasting models (ARIMA, LSTM, Prophet) for GDP, inflation, and FDI flows.
• AI-based classification for business risk and consumer behavior segmentation.

 Module 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.

Who Should Take This Course?

This course is ideal for:

• Business analysts and strategy professionals
• Economics students and MBA learners building analytics capability
• Data analysts moving into business decision roles
• Finance and operations professionals interested in forecasting and optimizatio

Job Opportunities

After completing this course, learners can pursue roles such as:

• Sustainability Analyst / Coordinator
• Renewable Energy Project Associate
• Green Innovation Consultant
• Energy Efficiency Specialist
• ESG & Climate Strategy Associate

Why Learn With Nanoschool?

At NanoSchool, we focus on career-relevant learning that builds real capability—not just theory.

• Expert-led training: Learn from instructors with real-world experience in applying skills to industry and research problems.
• Practical & hands-on approach: Build skills through guided activities, templates, and task-based learning you can apply immediately.
• Industry-aligned curriculum: Course content is designed around current tools, workflows, and expectations from employers.
• Portfolio-ready outcomes: Create outputs you can showcase in interviews, academic profiles, proposals, or real work.
• Learner support: Get structured guidance, clear learning paths, and support to stay consistent and finish strong.

Key outcomes of the course

Upon completion, learners will be able to:

• Applicability of AI and big data concepts in business economics
• Understanding of forecasting, pricing analytics, and customer economics concepts
• Ability to develop and interpret predictive models for business
• Sound decision-making frameworks based on economic logic and data-driven evidence
• Skills to apply in analytics, strategy, and pricing careers