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Spreadsheet Skills for Analysis

Practical spreadsheet analysis for industrial and energy professionals: structuring and cleaning data, lookups, pivot tables, conditional logic, and the controls that keep a business-critical workbook from producing confident but wrong answers.

55m
Total time
4
Competency levels
12
Lessons

What you'll learn

  • Structure data as a clean table — one row per record, one column per field — and explain why messy sheets break analysis
  • Clean imported data by trimming text, converting text to numbers and dates, splitting combined fields and handling blanks deliberately
  • Apply exact-match lookups, conditional logic and error handling, and explain why approximate match is dangerous
  • Aggregate data with pivot tables and build a chart from the pivot that answers a stated question
  • Use named ranges and absolute, relative and mixed references so formulas survive being copied and extended
  • Control spreadsheet risk through input/calculation/output separation, peer review and version control, and recognise when a database or BI tool is needed instead

Curriculum

Progress through each competency level in order.

1

Awareness

  • Structuring Data as a Clean Table
    Knowledge
    3m
  • Why Spreadsheets Go Wrong
    Knowledge
    3m
  • Awareness Check: Shape and Risk
    Assessment
    7m
2

Knowledge

  • Cleaning Imported Data
    Knowledge
    3m
  • References, Names and Portable Formulas
    Knowledge
    3m
  • Knowledge Check: Cleaning and References
    Assessment
    8m
3

Skill

  • Lookups, Conditional Logic and Pivot Tables
    Knowledge
    3m
  • Clean, Enrich and Summarise a Real Dataset
    Assignment
    3m
  • Skill Check: Lookups, Logic and Pivots
    Assessment
    8m
4

Mastery

  • Controlling Spreadsheet Risk
    Knowledge
    3m
  • Risk Review of a Business-Critical Workbook
    Assignment
    3m
  • Mastery Check: Spreadsheet Control Judgement
    Assessment
    8m

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