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
- 3mStructuring Data as a Clean TableKnowledge
- 3mWhy Spreadsheets Go WrongKnowledge
- 7mAwareness Check: Shape and RiskAssessment
2
Knowledge
- 3mCleaning Imported DataKnowledge
- 3mReferences, Names and Portable FormulasKnowledge
- 8mKnowledge Check: Cleaning and ReferencesAssessment
3
Skill
- 3mLookups, Conditional Logic and Pivot TablesKnowledge
- 3mClean, Enrich and Summarise a Real DatasetAssignment
- 8mSkill Check: Lookups, Logic and PivotsAssessment
4
Mastery
- 3mControlling Spreadsheet RiskKnowledge
- 3mRisk Review of a Business-Critical WorkbookAssignment
- 8mMastery Check: Spreadsheet Control JudgementAssessment
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