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Advanced Excel Formulas for Engineering Data Analysis

30 Chapters
View Course Samples Online
01
Engineering data analysis workflow in Excel
importing sensor logs, structuring raw data, and planning formula-driven analysis.
analysisworkflow
02
Dynamic array fundamentals for engineering datasets
spilled ranges, SEQUENCE, RANDARRAY, and reshaping measurement tables.
datasetsSEQUENCE
03
Lookup and reference formulas for instrument records
XLOOKUP, INDEX/MATCH, and FILTER for multi-condition engineering queries.
referenceformulas
04
Conditional aggregation with SUMIFS, COUNTIFS, and AVERAGEIFS for grouped test results and tolerance compliance counts.
Conditional aggregation with SUMIFS, COUNTIFS, and AVERAGEIFS for grouped test results and tolerance compliance counts.
Conditionalaggregation
05
Statistical engineering formulas
AVERAGE, STDEV.S, MEDIAN, QUARTILE, and confidence intervals for measurement uncertainty.
Statisticalformulas
06
Error handling and data validation in engineering calculations
IFERROR, ISNUMBER, and robust formula design for missing readings.
handlingvalidation
07
Text parsing formulas for engineering identifiers
TEXTBEFORE, TEXTAFTER, TEXTSPLIT, and extracting values from tagged sensor strings.
formulasidentifiers
08
Date and time formulas for time-series engineering data
DATEDIF, NETWORKDAYS, and converting timestamps to elapsed test duration.
formulastime-series
09
Unit conversion and dimensional consistency
CONVERT, arithmetic scaling, and formula patterns for mixed-unit engineering datasets.
conversiondimensional
10
Interpolation and curve fitting with formulas
FORECAST.LINEAR, TREND, LINEST, and estimating values from calibration tables.
Interpolationformulas
11
Regression analysis for engineering experiments
SLOPE, INTERCEPT, RSQ, and building formula-based linear models from test data.
Regressionanalysis
12
Outlier detection formulas for measurement data
z-score, IQR-based flags, and conditional formatting rules for anomalous readings.
detectionformulas
13
Tolerance stack-up and worst-case analysis
formula-driven min/max propagation and Monte Carlo simulation with RAND and NORM.INV.
Tolerancestack-up
14
Signal processing basics in Excel
moving averages, exponential smoothing, and formula-based noise reduction for sensor traces.
processingaverages
15
Numerical differentiation and integration formulas
finite differences, trapezoidal rule, and computing rates from sampled engineering data.
Numericaldifferentiation
16
Matrix formulas for engineering systems
MMULT, MINVERSE, TRANSPOSE, and solving linear equations for structural or circuit analysis.
formulasMMULT
17
Dynamic arrays for multi-variable engineering tables
BYROW, BYCOL, MAP, and LAMBDA for custom calculation pipelines.
multi-variableBYROW
18
LET and LAMBDA for reusable engineering calculations
defining named formulas for stress, flow, and heat-transfer computations.
LETLAMBDA
19
Power Query integration with advanced formulas
transforming engineering logs and loading clean tables for formula-based analysis.
integrationadvanced
20
PivotTable and cube formula techniques
GETPIVOTDATA, CUBEVALUE, and summarizing large engineering test matrices.
PivotTabletechniques
21
Array formulas for multi-condition engineering filters
FILTER, SORT, UNIQUE, and dynamic dashboards for test result exploration.
formulasmulti-condition
22
Financial engineering formulas
NPV, IRR, XIRR, and PMT for project cost analysis and equipment lifecycle evaluation.
Financialformulas
23
Optimization with Solver and formula models
setting up objective functions, constraints, and solving engineering design problems.
Optimizationobjective
24
Monte Carlo simulation for engineering risk
RANDARRAY, NORM.INV, and data tables to propagate uncertainty in design calculations.
simulationRANDARRAY
25
Formula auditing and performance optimization
tracing precedents, evaluating array formulas, and reducing calculation load in large workbooks.
auditingperformance
26
Building engineering calculation templates
structured references, data validation, and protected formula sheets for repeatable analyses.
Buildingcalculation
27
Case study
fatigue life estimation using S-N curves, interpolation, and formula-based damage accumulation.
estimationS-N
28
Case study
heat exchanger performance analysis with LMTD, effectiveness-NTU formulas, and property lookup tables.
exchangerperformance
29
Case study
structural beam deflection and stress calculations using matrix formulas and unit-consistent engineering inputs.
structuraldeflection
30
Capstone project
end-to-end engineering data analysis workbook integrating dynamic arrays, LAMBDA, regression, and simulation for a real dataset.
Capstoneend-to-end