Sunflower Intelligence
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Curriculum

33 courses in three schools, and an honest account of what is built.

The full plan, school by school, with each course’s level, prerequisites and status. Courses are written one at a time in prerequisite order, and a course is marked complete only when every lesson, test and project is written, independently reviewed for accuracy and tested.

What the statuses mean

Complete
Every lesson, module test, the project and the final are written, independently reviewed for accuracy, tested (numbers, answer keys, interactions) and live.
Reviewed
Written and reviewed for accuracy; final testing still in progress.
In progress
Being written or checked. Lessons may be readable but are not yet complete.
Planned
An outline only. Nothing is written yet; the syllabus shows what it will cover.

Finance & Accounting

CodeCourseLevelRequiresStatusLessons
F00Foundations of FinanceIntroductory—Complete9 of 9 written
F01Introduction to Financial AccountingIntroductory—Complete12 of 12 written
F02Financial Statement PreparationIntroductoryF01Complete10 of 10 written
F04Mathematics of FinanceIntroductory—Complete9 of 9 written
F03Financial Statement AnalysisIntermediateF02Complete10 of 10 written
F05Corporate FinanceIntermediateF04Planned16 topics outlined
F06Investment AnalysisIntermediateF04Planned16 topics outlined
F07Financial ModellingAdvancedF02, F05Planned14 topics outlined
F08Advanced Financial Decision-MakingAdvancedF05, F06Planned12 topics outlined
B04 · openDescriptive and…B03 · openExcel for Business…F00 · openFoundations of FinanceF01 · openIntroduction to…F02 · openFinancial Statement…F04 · openMathematics of FinanceF03 · openFinancial Statement…
Arrows run from a course to the courses that build on it; dashed arrows are recommended rather than required. Filled boxes are courses open to study; outlined grey boxes are courses from other schools.
The map as a list
  • F00 Foundations of Finance: no required courses.
  • F01 Introduction to Financial Accounting: no required courses; F00 recommended.
  • F02 Financial Statement Preparation: requires F01.
  • F04 Mathematics of Finance: no required courses; F00 recommended.
  • F03 Financial Statement Analysis: requires F02; F04 recommended.
  • F05 Corporate Finance: requires F04; F03 recommended.
  • F06 Investment Analysis: requires F04; B04 recommended.
  • F07 Financial Modelling: requires F02 and F05; B03 recommended.
  • F08 Advanced Financial Decision-Making: requires F05 and F06.

Business Analytics & Data Science

CodeCourseLevelRequiresStatusLessons
B01Introduction to Business AnalyticsIntroductory—Complete9 of 9 written
B02Data Cleaning and PreparationIntroductory—Complete12 of 12 written
B03Excel for Business AnalyticsIntroductory—Complete10 of 10 written
B07SQL and Business DatabasesIntroductory—Planned12 topics outlined
B04Descriptive and Inferential StatisticsIntermediateB01, B03Complete10 of 10 written
B10Visualisation and Business IntelligenceIntermediateB01Planned12 topics outlined
B05Correlation AnalysisIntermediateB04Complete10 of 10 written
B06Regression AnalysisIntermediateB05Reviewed10 of 10 written
B08Machine Learning for BusinessAdvancedB06, B02Planned16 topics outlined
B09Forecasting and Time SeriesAdvancedB06Planned10 topics outlined
B11Optimisation and Decision AnalyticsAdvancedB04Planned10 topics outlined
B12Experimental Design and Applied AnalyticsAdvancedB04, B06Planned9 topics outlined
B01 · openIntroduction to…B02 · openData Cleaning and…B03 · openExcel for Business…B04 · openDescriptive and…B05 · openCorrelation AnalysisB06 · openRegression Analysis
Arrows run from a course to the courses that build on it; dashed arrows are recommended rather than required. Filled boxes are courses open to study.
The map as a list
  • B01 Introduction to Business Analytics: no required courses.
  • B02 Data Cleaning and Preparation: no required courses; B01 recommended.
  • B03 Excel for Business Analytics: no required courses; B01 and B02 recommended.
  • B07 SQL and Business Databases: no required courses; B01 and B02 recommended.
  • B04 Descriptive and Inferential Statistics: requires B01 and B03; B02 recommended.
  • B10 Visualisation and Business Intelligence: requires B01; B03 recommended.
  • B05 Correlation Analysis: requires B04; B03 recommended.
  • B06 Regression Analysis: requires B05; B03 recommended.
  • B08 Machine Learning for Business: requires B06 and B02.
  • B09 Forecasting and Time Series: requires B06.
  • B11 Optimisation and Decision Analytics: requires B04; B03 recommended.
  • B12 Experimental Design and Applied Analytics: requires B04 and B06.

Marketing & Business Strategy

CodeCourseLevelRequiresStatusLessons
M01Marketing FundamentalsIntroductory—Complete9 of 9 written
M02The 4Ps Marketing MixIntroductory—Complete8 of 8 written
M04Market ResearchIntermediateM01, B04Complete10 of 10 written
M05Market Segmentation and PositioningIntermediateM01, B04Complete10 of 10 written
M10Branding and Product StrategyIntermediateM02Planned10 topics outlined
M09Pricing and Consumer PsychologyIntermediateM02Planned9 topics outlined
M03The 7Ps of Services MarketingIntermediateM02Planned8 topics outlined
M07Digital MarketingIntermediateM02Planned11 topics outlined
M06Customer Analytics and RFMIntermediateM05Planned11 topics outlined
M11Competitive and Strategic AnalysisAdvancedM01Planned9 topics outlined
M08Marketing AnalyticsAdvancedM07Planned13 topics outlined
M12Integrated Marketing StrategyAdvancedM05, M08, M11Planned9 topics outlined
F00 · openFoundations of FinanceB01 · openIntroduction to…B04 · openDescriptive and…B02 · openData Cleaning and…M01 · openMarketing FundamentalsM02 · openThe 4Ps Marketing MixM04 · openMarket ResearchM05 · openMarket Segmentation…
Arrows run from a course to the courses that build on it; dashed arrows are recommended rather than required. Filled boxes are courses open to study; outlined grey boxes are courses from other schools.
The map as a list
  • M01 Marketing Fundamentals: no required courses; F00 and B01 recommended.
  • M02 The 4Ps Marketing Mix: no required courses; M01 recommended.
  • M04 Market Research: requires M01 and B04; M02 recommended.
  • M05 Market Segmentation and Positioning: requires M01 and B04; M04 and B02 recommended.
  • M10 Branding and Product Strategy: requires M02.
  • M09 Pricing and Consumer Psychology: requires M02.
  • M03 The 7Ps of Services Marketing: requires M02.
  • M07 Digital Marketing: requires M02.
  • M06 Customer Analytics and RFM: requires M05; B02 recommended.
  • M11 Competitive and Strategic Analysis: requires M01; M10 recommended.
  • M08 Marketing Analytics: requires M07; B04 recommended.
  • M12 Integrated Marketing Strategy: requires M05 and M08 and M11.

F00 Foundations of Finance: lesson by lesson

LessonModuleStatusMinutesExercises
1. What finance is: money, time and risk1Complete7515
2. Finance, accounting and economics1Complete6516
3. Six principles behind financial decisions1Complete7015
4. Capital and liquidity2Complete7516
5. Value and valuation words2Complete7516
6. Interest and inflation2Complete7516
7. Financial markets3Complete7015
8. Market participants3Complete8016
9. Governance and the agency problem3Complete7516
Module tests1–3Complete32
Diagnostic, project and final—Complete36

F01 Introduction to Financial Accounting: lesson by lesson

LessonModuleStatusMinutesExercises
1. What accounting is and why businesses need it1In progress7516
2. Accounts, terminology and classifications1In progress8016
3. The accounting equation1In progress7516
4. Debits, credits and normal balances2In progress8516
5. Journal entries2In progress8016
6. Posting to the general ledger2In progress8515
7. The trial balance2In progress7515
8. Accrual versus cash accounting3In progress8016
9. Adjusting entries3In progress9516
10. Financial statements from the adjusted trial balance3In progress7516
11. Closing entries4In progress8016
12. The complete accounting cycle4In progress8516
Module tests1–4Complete45
Diagnostic, project and final—Complete37

F02 Financial Statement Preparation: lesson by lesson

LessonModuleStatusMinutesExercises
1. Revenue recognition1Complete8516
2. Inventory and cost of goods sold1Complete8516
3. The multi-step income statement1Complete8016
4. Receivables and payables2Complete10016
5. Long-lived assets2Complete10016
6. The balance sheet and equity2Complete9016
7. The statement of cash flows3Complete7515
8. The indirect method3Complete8016
9. Linking the statements4Complete8016
10. US GAAP and IFRS4Complete8516
Module tests1–4Complete47
Diagnostic, project and final—Complete37

F04 Mathematics of Finance: lesson by lesson

LessonModuleStatusMinutesExercises
1. Simple and compound interest1Complete8016
2. Effective annual rates1Complete7516
3. Present and future value2Complete9016
4. Discounting cash flows2Complete9016
5. Annuities3Complete8016
6. Perpetuities and growth3Complete7516
7. Loan amortisation3Complete9016
8. Inflation and real returns4Complete8516
9. Mortgages4Complete8516
Module tests1–4Complete46
Diagnostic, project and final—Complete36

F03 Financial Statement Analysis: lesson by lesson

LessonModuleStatusMinutesExercises
1. Horizontal analysis1Complete7516
2. Common-size statements1Complete7516
3. Liquidity2Complete7015
4. Solvency and leverage2Complete7515
5. Efficiency and working capital2Complete7015
6. Return on assets and equity3Complete7516
7. DuPont analysis3Complete8016
8. Cash flow and earnings quality4Complete7516
9. Distress scores4Complete7015
10. Benchmarking and annual reports4Complete6514
Module tests1–4Complete45
Diagnostic, project and final—Complete36

B01 Introduction to Business Analytics: lesson by lesson

LessonModuleStatusMinutesExercises
1. The four kinds of analytics1Complete8016
2. Business questions and measurable objectives1Complete7516
3. Problem-solving frameworks1Complete8016
4. Types of data2Complete7016
5. Collecting data: sources, samples and bias2Complete7516
6. Data quality: is the data fit for the question?2Complete7016
7. KPIs: measuring what matters3Complete7516
8. Summarising data: changes, averages and spread3Complete7016
9. Interpreting results: charts, comparisons and causes3Complete8016
Module tests1–3Complete34
Diagnostic, project and final—Complete37

B02 Data Cleaning and Preparation: lesson by lesson

LessonModuleStatusMinutesExercises
1. Datasets: rows, columns, records and variables1In progress7516
2. Profiling a dataset and writing validation rules1In progress7516
3. Duplicate records2In progress8016
4. Incorrect data types and inconsistent dates2In progress7516
5. Text cleaning and consistent categories2In progress7016
6. Missing values3In progress7516
7. Outliers and impossible values3In progress9016
8. Skewed data and transformations3In progress7516
9. Normalisation and standardisation4In progress10516
10. Encoding categorical variables4In progress9016
11. Transforming and reshaping data4In progress10516
12. Data quality reporting and a reproducible workflow4In progress7016
Module tests1–4Complete46
Diagnostic, project and final—Complete36

B03 Excel for Business Analytics: lesson by lesson

LessonModuleStatusMinutesExercises
1. Cells, references and formulas1Complete7016
2. Functions, logic, text and dates1Complete6516
3. Conditional sums, counts and averages1Complete6016
4. Lookups: VLOOKUP, INDEX and MATCH, XLOOKUP2Complete7016
5. Excel tables and cleaning data2Complete7016
6. PivotTables2Complete7016
7. Charts and conditional formatting3Complete8016
8. Descriptive statistics and regression in Excel3Complete8516
9. What-if analysis: data tables, Goal Seek, scenarios and Solver4Complete8016
10. Dashboards that answer questions4Complete7016
Module tests1–4Complete47
Diagnostic, project and final—Complete36

B04 Descriptive and Inferential Statistics: lesson by lesson

LessonModuleStatusMinutesExercises
1. Describing distributions1Complete7516
2. Probability1Complete7016
3. Discrete distributions1Complete7516
4. The normal distribution2Complete8516
5. Sampling distributions2Complete8016
6. Confidence intervals2Complete8516
7. Hypothesis testing3Complete8516
8. Comparing two means3Complete8016
9. Proportions and chi-square tests4Complete9016
10. One-way analysis of variance (ANOVA)4Complete8516
Module tests1–4Complete47
Diagnostic, project and final—Complete36

B05 Correlation Analysis: lesson by lesson

LessonModuleStatusMinutesExercises
1. Scatterplots1Complete8016
2. Covariance and Pearson’s r1Complete7516
3. Rank correlation2Complete8016
4. Testing a correlation2Complete8516
5. Outliers and influence3Complete7516
6. Curves, thresholds and restricted ranges3Complete8515
7. Groups and Simpson’s paradox3Complete7014
8. Correlation matrices4Complete8016
9. Partial correlation4Complete7016
10. Correlation and causation4Complete7515
Module tests1–4Complete43
Diagnostic, project and final—Complete36

B06 Regression Analysis: lesson by lesson

LessonModuleStatusMinutesExercises
1. The least-squares line1Reviewed8516
2. Residuals and R²1Reviewed7514
3. Inference for coefficients2Reviewed8016
4. Prediction and intervals2Reviewed7516
5. Multiple regression3Reviewed7516
6. Categorical predictors and interactions3Reviewed6516
7. Multicollinearity and model choice3Reviewed7016
8. Assumptions and diagnostics4Reviewed7515
9. Transformations and influence4Reviewed8015
10. Logistic regression4Reviewed7016
Module tests1–4Reviewed43
Diagnostic, project and final—Reviewed36

M01 Marketing Fundamentals: lesson by lesson

LessonModuleStatusMinutesExercises
1. What marketing is1Complete7516
2. Customer value, satisfaction and lifetime value1Complete7016
3. Market orientation: putting customers at the centre1Complete7516
4. How consumers make buying decisions2Complete7016
5. What influences buying2Complete7516
6. How organisations buy2Complete7016
7. Situation analysis3Complete7516
8. Marketing objectives3Complete7016
9. Competitive advantage3Complete7016
Module tests1–3Complete35
Diagnostic, project and final—Complete37

M02 The 4Ps Marketing Mix: lesson by lesson

LessonModuleStatusMinutesExercises
1. The marketing mix and customer value1In progress7516
2. Product decisions1In progress8516
3. The product life cycle1In progress7516
4. Pricing approaches2In progress9016
5. Price, demand and pricing tactics2In progress9516
6. Distribution channels and decisions3In progress7516
7. The promotion mix and integrated marketing communications4In progress7516
8. Measuring promotion and bringing the mix together4In progress8016
Module tests1–4Complete43
Diagnostic, project and final—Complete35

M04 Market Research: lesson by lesson

LessonModuleStatusMinutesExercises
1. The research process1Complete8016
2. Secondary research1Complete7016
3. Qualitative research1Complete7515
4. Questionnaire design2Complete8516
5. Sampling methods2Complete7016
6. Survey error2Complete8016
7. Market sizing3Complete8016
8. Competitor research3Complete7016
9. Analysing survey data4Complete9516
10. Insights and reporting4Complete7516
Module tests1–4Complete43
Diagnostic, project and final—Complete36

M05 Market Segmentation and Positioning: lesson by lesson

LessonModuleStatusMinutesExercises
1. Why segment?1In progress7516
2. Demographic and geographic segmentation1In progress6515
3. Psychographic and behavioural segmentation1In progress7515
4. Cluster analysis2In progress9516
5. Profiling segments2In progress8516
6. Evaluating segments3In progress8516
7. Targeting strategies3In progress8516
8. Perceptual maps4In progress8016
9. Positioning statements4In progress7016
10. Differentiation and repositioning4In progress7016
Module tests1–4Complete45
Diagnostic, project and final—Complete36