
Learn
Learning by doing
Van Gogh was largely self-taught. He worked through drawing courses page by page and copied the painters he admired, long before the sunflowers. Practice that is a little beyond you, repeated before you forget it, is still how skills grow.
“I keep on making what I can’t do yet in order to learn to be able to do it.”Vincent van Gogh to Anthon van Rappard, Nuenen, about 18 August 1885
Free courses in finance and accounting, business analytics and marketing, written to a university standard. Each lesson teaches from first principles, works examples step by step and gives you practice with feedback; each course has labs, tests and a project. 14 courses are complete. One course is written and independently reviewed, with final testing under way. The other 18 are planned, and marked as such.
Start here
New to all of this? Each of these courses is open and starts from scratch, so pick the subject you most want to learn. The Beginner path shows what to take after it.
Three schools
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Finance & Accounting
Record transactions, prepare and read financial statements, value money over time, and make investment and financing decisions.
5 of 9 courses open
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Business Analytics & Data Science
Prepare data you can trust, describe it, test ideas with statistics, and build models that predict and explain.
6 of 12 courses open
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Marketing & Business Strategy
Understand customers, design the marketing mix, measure what marketing returns, and choose where to compete.
4 of 12 courses open
Learning paths
Three suggested routes through the catalogue. Not sure which fits? The skills check estimates your level in a few minutes and this section will recommend a path from it.
New to business subjects. Learn what finance, analytics and marketing are, then how a business records its money, cleans its data and sells its products, then the first tools of analysis. Start with step 1, F00 Foundations of Finance: it is open.
- F00 Foundations of Finance Start here
- F01 Introduction to Financial Accounting
- B01 Introduction to Business Analytics
- B02 Data Cleaning and Preparation
- M01 Marketing Fundamentals
- M02 The 4Ps Marketing Mix
- F02 Financial Statement Preparation
- F04 Mathematics of Finance
- B03 Excel for Business Analytics
- B04 Descriptive and Inferential Statistics
- M04 Market Research
- M05 Market Segmentation and Positioning
You know the basics of accounting, spreadsheets and marketing. Build analysis and decision skills. Start with step 1, F02 Financial Statement Preparation: it is open.
- F02 Financial Statement Preparation Start here
- F04 Mathematics of Finance
- F03 Financial Statement Analysis
- B02 Data Cleaning and Preparation
- B04 Descriptive and Inferential Statistics
- B05 Correlation Analysis
- B06 Regression Analysis
- M02 The 4Ps Marketing Mix
- M04 Market Research
- M05 Market Segmentation and Positioning
- M06 Customer Analytics and RFM Planned
- F05 Corporate Finance Planned
Comfortable with statistics and corporate finance. Go on to investments, modelling, machine learning and strategy. Start with step 4, B02 Data Cleaning and Preparation: it is open, and it teaches what it needs from the planned steps before it.
- F06 Investment Analysis Planned
- F07 Financial Modelling Planned
- F08 Advanced Financial Decision-Making Planned
- B02 Data Cleaning and Preparation Start here
- B08 Machine Learning for Business Planned
- B09 Forecasting and Time Series Planned
- B11 Optimisation and Decision Analytics Planned
- B12 Experimental Design and Applied Analytics Planned
- M07 Digital Marketing Planned
- M08 Marketing Analytics Planned
- M11 Competitive and Strategic Analysis Planned
- M12 Integrated Marketing Strategy Planned
Labs
Workbenches where you do the work rather than read about it. Each belongs to a course but can be used on its own.
- Accounting LabAnalyse transactions, post journal entries to T-accounts, and watch the trial balance and statements update.F01 Introduction to Financial Accounting
- Data Cleaning LabInspect a messy dataset, choose cleaning steps, and see what each one does to the data and the conclusions.B02 Data Cleaning and Preparation
- Marketing Mix SimulatorChoose a product, price, channels and promotion for a fictional launch and see simulated demand, margin and share.M02 The 4Ps Marketing Mix
A lesson from each course
- F01 · lesson 4Debits, credits and normal balancesDebit means the left side of an account and credit means the right, nothing more. Work out from the accounting equation which side increases each kind of account, read normal balances, and calculate the balance of any T-account.
- B02 · lesson 6Missing valuesA blank cell is a question: why is the value missing? Learn to find every form missing data takes, judge whether the gaps are random, and choose between deleting and imputing without quietly biasing the answer.
- M02 · lesson 4Pricing approachesPrice is the only part of the mix that brings money in. Learn to separate fixed from variable costs, work with contribution, markups and margins, find the break-even volume, and set a price between the floor your costs set and the ceiling your customers’ alternatives set.
Your toolkit
- Glossary1395 terms, searchable, each linked to the lesson that teaches it.
- Formulas601 formulas with every symbol and unit defined.
- ReviewFlashcards and the questions you missed, brought back when they’re due.
- NotebookYour notes and bookmarks, and moving your progress to another browser.
- PlatesNineteen short lessons on the ideas behind the site’s tools.
- Skills checkAn adaptive placement check and practice across those nineteen skills.
- CurriculumAll 33 courses, their prerequisites and what is built.
How the courses work
Complete is not the same as mastered
A lesson is complete when you have worked its guided problems and scored 80% on its knowledge check, not when you open it. Mastery is estimated separately from your first answers, using Bayesian knowledge tracing, and decays unless you review.
Worked examples, then practice
Beginners learn faster from studied examples than from solving problems cold (Sweller and Cooper, 1985), and answering questions strengthens memory more than rereading (Roediger and Karpicke, 2006). Every lesson does both, with hints first and feedback that explains the mistake.
Spaced review
Each lesson comes back for review when you are predicted to be about to forget it, using half-life regression (Settles and Meeder, 2016). Questions you got wrong come back too, and the glossary doubles as flashcards.
Checked, and honest about it
Every number printed in a lesson is recomputed by a test; journal entries must balance and statements must add up. Each lesson was reviewed for accuracy by a second reader. Sources are listed in every lesson, and anything not yet verified says so.
Your progress stays with you
Progress, notes and bookmarks are kept in this browser only: no account, nothing sent anywhere. Clearing your browser’s site data deletes them, so the Notebook lets you download a copy and load it elsewhere.
What it can’t do
There is no teacher marking your work: written answers are marked by you against a model answer and a rubric. Answer keys are in the page’s code, as on any static site. The labs’ data and the companies in them are fictional.
Sources
- Van Gogh to Anthon van Rappard, Nuenen, on or about 18 August 1885, letter 528.
- Sweller, J. & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 2(1), 59–89.
- Roediger, H. L. & Karpicke, J. D. (2006). Test-enhanced learning: taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.
- Corbett, A. T. & Anderson, J. R. (1995). Knowledge tracing: modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4, 253–278.
- Settles, B. & Meeder, B. (2016). A trainable spaced repetition model for language learning. Proceedings of ACL.