Finance for Everyone: Debt (Coursera)

Offered by McMaster University,
Finance for Everyone: Debt (Coursera)

In Debt, we take on one of the most challenging financial questions that remains unresolved: How much to borrow? We start by demonstrating why using debt has always been and continues to be a great temptation, particularly when borrowing costs are historically low. We identify conditions for selecting the optimal amount of debt for a corporation looking to maximize its value. You’ll become fluent in related concepts like norms and benchmarks.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

You will explore these and other factors that influence debt for individuals and for public sector organizations -including governments, who are the largest consumers of debt. Like pollution, debt creates systemic risks even for the people and organizations that don’t create it. This course discusses the imperative of limiting and reducing debt and the costs to all of us if we don’t. We build on case based learning giving you opportunities to interpret, uncover and acquire financial information that is often hidden or missing. We also summarize important threads from previous courses to give you a deep and cohesive understanding of when debt works for you and when it becomes your worst enemy.
Course 4 of 5 in the Finance for Everyone Specialization.

Syllabus

WEEK 1
Welcome & Personal Debt
Welcome! This first week will introduce you to a critical question for our time: how much debt is too much debt? We start by demonstrating why using debt has always been and continues to be a great temptation, particularly when borrowing costs are historically low. Then we’ll delve into Personal Debt and how building your financial literacy as well as tapping into your own motivations can help you manage your debt level, instead of it managing you. You will make connections between Debt and concepts in the prior three courses of this Specialization, and start examining what area of debt from your experiences that you would like to address as part of this course’s final assignment.

WEEK 2
Corporate Debt
This week we will look at Corporate Debt and how this type of debt has significant advantages over equity under certain conditions. Taking a critical yet realistic lense, we’ll explore how debt favours and benefit firms who use it as financial leverage aimed at increasing a firm’s value, while impressing an understanding of why this is an advantage only during times of growth. We’ll also tap into each other’s thoughts on how this type of debt could influence our own investing decisions

WEEK 3
Government Debt
This week we’ll move beyond the personal and corporate to the bigger picture of Government Debt. We’ll collectively understand why a measure of debt is often a requirement to grow national wealth. But, we’ll also discuss how this ‘measure’ of debt has become a ‘monolith’ of debt in many instances around the globe. The key aspect that we’ll work together to uncover is how this impacts you and the people and places surrounding you, and consider how we might plan and react to finding ourselves at an economic turning point in our history. This week will also be the launch of our peer review activity around your debt case study.

WEEK 4
Debt Synthesis
Week 4 is the time to synthesize all that we have learned about debt - from our personal experiences, the state of corporations as well as the current level of government debt, and scrutinize and address it in a way that will increase your debt literacy. You will also reexamine your debt case study and share your biggest takeaways from the course, and look ahead to F4E: Capstone!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Learning Transfer and Life Long Learning (3L) (Coursera) Coursera
University of California, Irvine

Introduction to Learning Transfer and Life Long Learning (3L) (Coursera)

Learn how to identify the enablers and barriers to learning transfer. Use your own experience to categorise the processes and activities involved in learning and transferring that learning into practice. There are many criteria against which the success of training and development activities can be judged.

Sep 21st 2026
3 Weeks
An Introduction to Consumer Neuroscience & Neuromarketing (Coursera) Coursera
Copenhagen Business School

An Introduction to Consumer Neuroscience & Neuromarketing (Coursera)

How do we make decisions as consumers? What do we pay attention to, and how do our initial responses predict our final choices? To what extent are these processes unconscious and cannot be reflected in overt reports? This course will provide you with an introduction to some of the most basic methods in the emerging fields of consumer neuroscience and neuromarketing. You will learn about the methods employed and what they mean. You will learn about the basic brain mechanisms in consumer choice, and how to stay updated on these topics. The course will give an overview of the current and future uses of neuroscience in business.

Sep 21st 2026
5-12 Weeks
Digital Business Models (Coursera) Coursera
Lund University

Digital Business Models (Coursera)

Digital business models are disrupting 50-year old companies in telecommunications, transportation, advertising, e-commerce, automotive, insurance and many other industries. This course will explore the business models of software disruptors of the west such as Apple, Google, Facebook and Amazon, and the east such as Xiaomi and weChat. The class uses a structured framework for analysing business models with numerous examples so that students can apply it to their own business or case study.

Sep 21st 2026
5-12 Weeks
Interest Rate Models (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Interest Rate Models (Coursera)

This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives.

Sep 21st 2026
5-12 Weeks
Challenges of Agribusiness Management (Coursera) Coursera
Università Bocconi

Challenges of Agribusiness Management (Coursera)

The goal of this course is to understand the challenges and opportunities of agribusiness nowadays. From farms to retailers, from input providers to traders, all the diverse players of this value chain interact a complex business environment in which nature, policy, technology and management strategies have to be considered to overcome future challenges and seize upcoming opportunities.

Sep 21st 2026
5-12 Weeks
From Idea to Startup (Coursera) Coursera
Technion - Israel Institute of Technology

From Idea to Startup (Coursera)

How do you implement ideas? This course provides practical proven tools for transforming an idea into a product or service that creates value for others. As students acquire these tools, they learn how to tell bad ideas from good, how to build a winning strategy, how to shape a unique value proposition, prepare a business plan, compare their innovation to existing solutions, build flexibility into their plan and determine when best to quit.

Sep 21st 2026
5-12 Weeks
L'avenir de la décision : connaître et agir en complexité (Coursera) Coursera
ESSEC Business School

L'avenir de la décision : connaître et agir en complexité (Coursera)

Ce MOOC a l’intention d’affronter et traiter des problèmes que rencontrent chaque personne, chaque groupe, chaque entreprise, chaque société, de façon de plus en plus aiguë et pressante ; dans notre temps d’évolution accélérée, de transformations ininterrompues, de mondialisation incontrôlée, d’incertitudes.

Sep 21st 2026
5-12 Weeks
Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation (Coursera) Coursera
University of Illinois at Urbana-Champaign

Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation (Coursera)

This course is the second course in a two-part series on corporate and commercial law. In this part, we focus on three main topics: business organizations, business financing, and governmental regulation. In the first module, we discuss the characteristics of a number of the most common forms of business entities, such as corporations and LLCs.

Sep 21st 2026
4 Weeks
Auditing I: Conceptual Foundations of Auditing (Coursera) Coursera
University of Illinois at Urbana-Champaign

Auditing I: Conceptual Foundations of Auditing (Coursera)

This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors’ professional responsibilities as well as major facets of the audit process including risk assessment and audit reporting. In the U.S. financial-statement audits and related services generally are provided by Certified Public Accountants (CPAs).

Sep 21st 2026
5-12 Weeks
Alternative Approaches to Valuation and Investment (Coursera) Coursera
University of Melbourne

Alternative Approaches to Valuation and Investment (Coursera)

In this course, participants will develop an understanding of the intuitive foundations of asset and investment valuation, and how alternative valuation techniques may be used in practice. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).

Sep 21st 2026
4 Weeks
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks