Effective Business Decisions Using Data Analysis

  • Effective Business Decisions Using Data Analysis
  • Germany - Berlin

Effective Business Decisions Using Data Analysis

Course Category : Data Management

An advanced professional programme enabling managers and analysts to transform data into strategic decisions using statistical reasoning, predictive modelling, and structured decision analysis tools.
Duration: 5 Days | Level: Advanced.

Starts On

28 - September - 2026

Ends On

2 - October - 2026

Location

Germany - Berlin

Language

English

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View Course Introductory PDF

Targeted Audience

  • Professionals in management support roles
  • Analysts regularly working with data
  • Managers seeking improved decision quality
  • Individuals aiming to extract greater value from data analytics

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Targeted Skills

  • Statistical thinking in management
  • Descriptive and inferential analysis
  • Predictive modelling
  • Data quality assessment
  • Multi-criteria decision analysis
  • Confident statistical interpretation

Expected Outcomes

  • Apply data analysis as a structured decision-support tool.
  • Select appropriate statistical methodologies for management scenarios.
  • Interpret statistical outputs to inform strategic decisions.
  • Develop predictive models for forecasting and planning.
  • Utilise decision analysis tools to evaluate complex alternatives.

Training Topics Index

  • Role of quantitative methods
  • Statistical thinking in business
  • Data quality importance
  • Scope of quantitative management
  • Data–decision relationship

  • Pivot tables
  • Graphical displays
  • Numerical descriptors
  • Central tendency and dispersion
  • Box plot analysis

  • Sampling and probability
  • Confidence intervals and hypothesis testing
  • Z and T statistics, ANOVA
  • Chi-square techniques
  • Multiple sample comparisons

  • Value of statistical models
  • Regression models
  • Time series analysis
  • Autoregressive models
  • Forecast-based decision-making

  • Data mining overview
  • Classification and clustering
  • Logistic regression and decision trees
  • Market basket analysis and CRM
  • SMART and AHP decision tools