What you'll learn:
- This is the ONLY Udemy course to offer the Oxford Diploma for Economics
- Global Economics - but explained in a way relevant to all
- Davos and Globalisation
- Focusing on individual countries (eg. USA, UK, Norway, Saudi Arabia, Bulgaria, India, Italy, South Africa)
- Analysis of global topics including climate change, peak oil theory, economic growth, economics of veganism
- 25 workbooks including COVID-19 impact: learn through discussion also the Indian economy
- Analysis of pro-Brexit economic arguments
- Workbooks/lectures on: USA, India, UK, Australia
- The economic legacy of Theresa May (UK Prime Minister)
- The EU Elections
- Economics and decluttering
- The USA Economy as at April 2023
- A seven day course in Business Economics English
- Climate change and Economics
- Understand the basics of micro and macro Economics
- Trump circa 2024
- Textbooks are included!
- 2024 March Budget
- Includes a 12 week course in Case Studies
- Includes 'Thinking like an Economist'
It's really just one question - the answer to which that shows how this is course is different to all others in this section on Udemy.
Do you want to enrol in a course where lectures are constantly added to, students' work is discussed in the Q/A, participation is encouraged and there is a high level of Instructor involvement?
If so - then enrol.
AI summarised the reviews from the last 3 months:
"Learners appreciate the course's clear, unbiased presentation of economics focused on real-world events rather than ideological perspectives. The instructor's well-prepared, thoughtful teaching style, including engaging exercises and useful readings, supports a refreshing and stimulating learning experience that encourages independent research and reflection."
What is the best way to learn Economics when studying on Udemy?
Through a combination of videos, discussions, and other interactive elements is often considered the best way to learn online. This multifaceted approach leverages the strengths of different formats to enhance engagement and understanding. On this course there are:
Hundreds and hundreds of lectures; These lectures are regularly updated; Regular Educational Announcements ; Manuals Scores of Case Studies; Quizzes; Multiple-choice lectures; A considerable amount of research homework set and an encouragement to share and discuss in the Q/A
It is this last category - the Q/A - that is so important .
Whatever courses in any subject you are on elsewhere, go look at the Q/A. How active is it?
Here there are 8,000+ posts. Students interact, share ideas, suggestions, discussions and approach a variety of exercises, case studies, manuals and discussion questions.
They learn by DOING.
They learn by researching and monitoring.
They learn even more by SHARING
And even more when their answers are challenged or further analysis is required.
All of this takes time: your time and the Instructor's.
So if you enrol: prepare to work and you will learn and learn and learn.
Now to the actual content.
Update Late January 2026 - new topics added:
Trade balance (goods vs services)
Current account vs bilateral deficit narratives
Gains from trade and interdependence
Tariffs: incidence, pass-through, deadweight loss
Retaliation and trade war dynamics
Elasticity of demand/supply; substitution effects
Trade diversion and third-country substitution
Exchange rates and competitiveness
Inflation transmission from trade policy
Policy uncertainty and investment effects
Climate externalities and market failure
Physical climate risk vs transition risk
Climate risk pricing and risk premia
Cost of capital and sovereign borrowing spreads
Insurance market withdrawal / uninsurability
Risk pooling limits and correlated shocks
Regulation/standards as risk reduction
Adaptation investment and resilience finance
Energy market design (energy-only vs capacity)
Reliability as a system constraint
Capacity adequacy and reserve margins
Dispatchable generation and flexibility
Grid transmission/distribution bottlenecks
Storage economics and demand response
Peak demand, load growth, load duration curves
Option value of reliability resources
AI/data-centre electricity demand as a driver
General-purpose technologies (GPTs) and diffusion
Complementary investments (skills, data, processes)
Adoption S-curves and productivity lags
Measurement/realization of productivity gains
Capital deepening vs TFP growth
Automation vs augmentation (substitutes vs complements)
Skill-biased technological change
Job polarization and entry-level displacement
Bargaining power (labour vs capital)
Labour share vs capital share of income
Competition policy and rent concentration
“Jobless growth”
Social legitimacy (“social permission”) of technology
Welfare states, safety nets, and adjustment costs
Education and reskilling policy
Economic statecraft and coercive diplomacy
Credible threats, deterrence, commitment problems
Signalling, reputation, and strategic interaction
Sanctions/retaliation risk and market reactions
Structured finance and contract design
Sukuk structures and asset-backing
Risk allocation and cash-flow waterfalls
Information asymmetry, certification, and standards
Liquidity, investor base diversification
Agglomeration economies and clusters
FDI attraction and place-based industrial policy
Spillovers (knowledge, suppliers, networks)
Human capital pipelines and skill ecosystems
Infrastructure as a complement to investment
Institutions and political legitimacy
Collective action and protest dynamics
State capacity and enforcement costs
Credibility of reform and path dependence
Political economy of ideology vs material incentives
Update January 2026:
New lectures and Case Studies added.
In an age where artificial intelligence promises unprecedented efficiency and assistance, the question arises: what becomes of humanity’s ability to think deeply, critically, and consciously? Across sectors—be it governance, education, labour, or technology—there is a growing tension between the allure of convenience and the imperative of maintaining human judgment. These case studies explore the philosophical and economic challenges posed by AI, emphasizing the need for conscious thought as the cornerstone of innovation, freedom, and progress.
Case Study Summaries
The Erosion of Critical Thinking in the AI Economy:
Explores how AI’s automation of decision-making risks diminishing critical thought, urging policies that prioritize education and intellectual empowerment to sustain long-term economic growth.The Paradox of AI Assistance and Human Autonomy:
Examines the tension between AI’s efficiency and its potential to foster dependency, advocating for conscious policies that elevate human agency alongside technological progress.Inequality and Power in an AI-Driven World:
Highlights the risk of AI concentrating power in the hands of a few, stressing the need for deliberate thought and action to address systemic inequities and preserve democratic participation.Education as the Battleground for Human Reason:
Focuses on the role of education in cultivating critical thinking and ethical reasoning, urging reforms to ensure future generations think critically in a world dominated by AI.Governance and the Balance of Ethics and Innovation:
Explores policy solutions to ensure AI assists rather than replaces human reasoning, emphasizing the need for conscious thought in balancing innovation with ethical responsibility.