Entrepreneurship: Course

Entrepreneurship: Course

This free self-paced support course organizes five modules, practice, reflection, and a final learning artifact. Uses customer discovery, experiments, business models, finance, operations, and ethics to test ventures. Course titles, local sequences, grading, safety rules, required tools, and assessment formats vary; align this resource with the current syllabus and instructor directions.

Learning outcomes

• Explain and apply problem and customer discovery, then connect it to value propositions using course-appropriate evidence.
• Explain and apply value propositions, then connect it to business models using course-appropriate evidence.
• Explain and apply business models, then connect it to unit economics using course-appropriate evidence.
• Explain and apply unit economics, then connect it to experimentation and operations using course-appropriate evidence.
• Explain and apply experimentation and operations, then connect it to problem and customer discovery using course-appropriate evidence.

Prerequisite readiness

communication, basic accounting and finance, research methods, spreadsheets, and comfort with uncertainty Use a short ungraded check, repair the smallest missing skill, and immediately retest it in a course-level task.

Self-paced module plan

1. Module 1 - problem and customer discovery: explanation, guided model, independent practice, error analysis, and reflection.
2. Module 2 - value propositions: explanation, guided model, independent practice, error analysis, and reflection.
3. Module 3 - business models: explanation, guided model, independent practice, error analysis, and reflection.
4. Module 4 - unit economics: explanation, guided model, independent practice, error analysis, and reflection.
5. Module 5 - experimentation and operations: explanation, guided model, independent practice, error analysis, and reflection.

Completion evidence

Complete an evidence log with hypotheses, tests, results, business model, unit economics, and next decision and a short reflection that identifies evidence, feedback, revision, limitations, and the next learning goal. This support course does not award college credit.

Reliable method

state a falsifiable assumption, interview or test ethically, measure behavior, update the model, and preserve financial realism Keep assumptions, intermediate reasoning, units, sources, tool use, and checks visible so another learner can follow the decision process.

Representative application

Test whether a defined customer problem is urgent before building a product, then document disconfirming evidence. Predict a reasonable result before working, compare the outcome with the prediction, and explain limitations or alternative interpretations.

Error recovery

Watch for treating enthusiasm, survey compliments, or a pitch as proof of demand and sustainable economics. Mark the first unsupported move, classify the cause, correct the reasoning, and schedule a fresh mixed recheck after a delay.

Accessibility, integrity, and safety

Use approved accommodations and accessible formats. Follow course rules for collaboration, citation, calculators, software, generative tools, laboratories, clinical settings, field activity, privacy, copyright, and human or animal subjects. Never use Exams.fit to obtain protected questions or bypass assessment rules.

Evidence to save

When permitted, preserve an evidence log with hypotheses, tests, results, business model, unit economics, and next decision with the prompt, first attempt, feedback, revision, verification, and reflection. Remove restricted assessment content and private or proprietary information.

Open-learning reference

Compare this original Exams.fit resource with the relevant OpenStax collection and MIT OpenCourseWare when they match the local course. Reviewed August 2, 2026. This page does not replace the current syllabus, instructor, institution, or qualified professional.