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Analyze data, calculate probabilities, and identify trends using Excel in Microsoft 365
Use the full power of Microsoft Excel in Microsoft 365 to perform statistical analyses, probability calculations, and data‑driven decision‑making — efficiently and without additional statistics software.
In this practical seminar, you will learn how to apply stochastic and statistical methods directly in Excel.
Whether production data, sales performance, customer segments, or resource planning — many typical questions from statistics and probability can be solved easily with Excel:
- What level of production failure rate is acceptable?
- Which price segments generate the highest revenue?
- Are there relationships between product purchases or customer groups?
- How can resources be planned and allocated optimally?
You will learn how to analyze complex datasets using formulas, functions, PivotTables, and Power Query, recognize trends, and create meaningful visualizations.
This seminar combines theoretical foundations of statistics with hands‑on Excel applications — ideal for controlling, quality management, data analytics, and informed business decisions.
Our experienced trainers will show you:
- how to safely apply statistical and stochastic methods in Excel
- how to calculate probabilities, frequencies, and distributions
- how to interpret and visualize statistical indicators
- how to use Power Query and PivotTables for advanced analytical workflows
- how to derive trends and patterns from real‑world data
Your Benefits at a Glance
- Practical application of statistics and stochastics using Excel
- Modern methods with Microsoft 365 — no extra software required
- Efficient data analysis & visualization using formulas, Pivot & Power Query
- Clear explanations of complex statistical concepts
- Ideal for controlling, quality management & data‑driven decisions
- Hybrid workshop: attend on‑site or live online
Seminar Content
Introduction to Stochastics & Statistics
- What is stochastic analysis? Core concepts & use cases
- Understanding quantitative & qualitative data
- Mapping variables and attributes in Excel
- Considering samples vs. populations
Data Analysis & Visualization with Excel (Microsoft 365)
- Using conditional formatting to highlight numeric patterns
- Univariate & bivariate analysis
- Calculating probabilities and expected values
- Absolute & relative frequencies
- Statistical class formation, class width & frequency distributions
Statistical Indicators & Calculations in Excel
- Measures of central tendency and dispersion
(arithmetic, harmonic, geometric mean) - Empirical quantiles, quartiles, median, percentiles
- Variance, standard deviation & standard error
- Linear deviation & trend calculations
Data Analysis Tools & Add‑ins
- Working with the Excel Data Analysis Toolpak
- Frequency analysis, correlation, regression, covariance, ANOVA
- Goal Seek & Solver for scenario modeling
- Power Query for grouping & frequency analysis
Charts & Visualizations
- Creating histograms, column, line, and boxplot charts
- Interpreting distributions & trends
- Using PivotTables for statistical evaluations
Important Excel Functions for Statistics
SUM, COUNT, MAX, MIN, ROUND, HARMEAN, GEOMEAN,
AVERAGE, MEDIAN, MODE,
COUNTIF(S), SUMIF(S), AVERAGEIF(S),
SUMPRODUCT, FREQUENCY,
QUARTILE.INC / EXC, TREND,
STDEV.P / STDEV.S, RSQ, CORREL,
SLOPE, INTERCEPT, COVARIANCE,
RAND, RANDBETWEEN
Prerequisites
Participants should have good basic knowledge of Microsoft Excel (Microsoft 365), especially in formulas, functions, and charts.
Prior knowledge of statistics or stochastics is helpful but not required.
Target Audience
This seminar is ideal for professionals and managers who regularly work with data analyses and statistical evaluations in Excel, especially:
- Controllers and analysts
- Employees in quality management, sales, controlling, or production
- Professionals who use statistical methods for decision support
- Lecturers, students, and researchers interested in stochastics & statistics using Excel
