Unit content
1 Understand how spreadsheets can be used to solve complex problems
Use of spreadsheets: manipulating complex data; presentation to requirements; supporting decision making eg analysis of data, goal seeking, scenarios, regression, data mining
Complex problems: types eg cash flow forecasting, budget control, what-if scenarios, sales forecasting, payroll projections, statistical analysis, trend analysis
Interpretation: methods eg comparisons of totals, trend analysis
2 Be able to develop complex spreadsheet models
Complexity: multiple worksheets (with links); complex formulae eg at least two-step process; large data sets; cells linkage; data entry forms eg menu systems, list boxes, drop-down boxes, event controls; data validation; error trapping; lookup tables; nested IF functions; templates; cell protection
Formulae: relative references; absolute references; logical functions eg IF, AND, OR, NOT, SUMIF; correct operators
Structure and fitness for purpose: formatting eg integer, real, date, currency, text; styling eg bold, italics, borders, shading, column alignment, consistency; context
Features and functions: named ranges; file sharing; tracking changes; security issues; user interface; add-ins; built-in functions eg cell functions, lookup functions, text functions, statistical function; finding data
Refine: improving efficiency eg shortcuts, aiding navigation; formatting eg fonts, page orientation, header and footer, print area, use of colour, conditional formatting
3 Be able to automate and customise spreadsheet models
Sorting and summarising data: use of sub-totals and facilities eg pivot tables; sorting data on multiple fields; filtering data sets
Tools: charts and graphs eg titles; labels eg axis scales, colours, annotation; select appropriate type eg line, bar, column, pie, xy (scatter)
Presenting: combining information eg table of data and chart; maintaining data eg between worksheets, workbooks, packages
Analysing and interpreting data: convert data eg charts, graphs; lists eg filtering, sorting; trends; patterns; data analysis; results; conclusions
Customisation: restricting data entry eg hiding; protecting; modifying toolbars; modifying menus; checking data eg data validation, range checking, not NULL; error messages
Automation: methods eg macros, ActiveX control, Control Toolbox, Visual Basic
4 Be able to test and document spreadsheet models
Test: manual calculations eg formula, functions; data entry forms; validation; calculations; correct outcomes eg layout, values; suitability for client; user testing; test plans using normal, extreme and erroneous data
Feedback: methods eg surveys, questionnaire, interview; analyse results; make recommendations
Alternative formats: converting to eg xls, csv, txt, xms, xml, html
Documentation: user documentation eg instructions, guide, troubleshooting; technical documentation eg hardware resources, software resources; instructions; calculations eg formula, functions used; validation procedures
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