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OrionStats Academy

The learning pathway

Fifteen modules, taught from first principles. Each module lists what you should learn first, and every lesson follows the same rhythm: understand, see it worked, apply it, practise, and check yourself.

47 published lessons. Modules show syllabus coverage honestly — topics not yet taught are listed on each module page.

  1. MODULE 015 lessons · 3 h

    Data Analytics Foundations

    What analysts do, how organisations use data, and how to turn a business question into an analytical task.

    Syllabus coverage: 18/18 topics
  2. MODULE 0211 lessons · 9.3 h

    SQL

    Retrieve, combine and summarise data in relational databases — from first SELECT to window functions and query performance.

    Learn first: M1

    Syllabus coverage: 49/49 topics
  3. MODULE 034 lessons · 3.6 h

    Excel and Google Sheets

    The analyst's everyday tool: clean structure, robust formulas, PivotTables and Power Query.

    Learn first: M1

    Syllabus coverage: 29/29 topics
  4. MODULE 044 lessons · 4.5 h

    Power BI and Power BI Service

    Model data as a star schema, write correct DAX, design dashboards people trust, and operate them in the Service.

    Learn first: M1, M3

    Syllabus coverage: 45/45 topics
  5. MODULE 052 lessons · 1.9 h

    Tableau

    Visual analysis in Tableau: dimensions and measures, calculations, LOD expressions and interactive dashboards.

    Learn first: M1, M3

    Syllabus coverage: 16/16 topics
  6. MODULE 063 lessons · 4.7 h

    Python for Data Analytics

    Python from zero to pandas-based analysis, database integration and first models.

    Learn first: M1, M2

    Syllabus coverage: 35/35 topics
  7. MODULE 074 lessons · 4.9 h

    Statistics and Mathematics

    Describe data honestly, quantify uncertainty, test hypotheses and model relationships — explained in business language.

    Learn first: M1

    Syllabus coverage: 35/32 topics
  8. MODULE 084 lessons · 5.2 h

    Business Analytics

    The methods analysts use to steer a business: KPIs, plan vs fact, segmentation, funnels, retention and forecasting.

    Learn first: M2, M3, M7

    Syllabus coverage: 39/33 topics
  9. MODULE 092 lessons · 2.5 h

    Financial Analytics

    Read and analyse financial statements, build models with explicit assumptions, and calculate incentives correctly.

    Learn first: M3

    Syllabus coverage: 28/26 topics
  10. MODULE 101 lessons · 1.2 h

    Marketing, Sales and HR Analytics

    Apply analytics to commercial performance, attribution and the workforce.

    Learn first: M8

    Syllabus coverage: 7/16 topics
  11. MODULE 112 lessons · 2.8 h

    Predictive Analytics and Machine Learning

    Build, evaluate and explain predictive models responsibly — and know when not to.

    Learn first: M6, M7

    Syllabus coverage: 21/21 topics
  12. MODULE 121 lessons · 1.3 h

    Business Logic and Decision-Making

    Reason about causes, constraints and consequences; turn analysis into recommendations and measure impact.

    Learn first: M8

    Syllabus coverage: 12/15 topics
  13. MODULE 131 lessons · 1.5 h

    Advanced Application Development

    Build interactive analytical applications with Streamlit — including predictive models.

    Learn first: M6, M11

    Syllabus coverage: 12/12 topics
  14. MODULE 141 lessons · 1.2 h

    Automation and Productivity

    Automate recurring analytical work reliably: refreshes, emails, logs and pipelines.

    Learn first: M2, M6

    Syllabus coverage: 10/10 topics
  15. MODULE 152 lessons · 2 h

    Professional Skills, Agile and Documentation

    Work like a professional analyst: requirements, stakeholders, documentation, Agile and interviews.

    Learn first: M1

    Syllabus coverage: 24/24 topics