Advanced Data Analysis Techniques Training Course

  • Advanced Data Analysis Techniques Training Course
  • Spain - Barcelona

Advanced Data Analysis Techniques Training Course

Course Category : Data Management

This advanced programme provides a practical, hands-on approach to modern data analysis and Business Intelligence, enabling participants to clean, model, integrate, and visualise complex datasets using advanced Excel-based techniques for enhanced decision-making.
Duration: 5 Days – Level: Advanced.

Starts On

3 - August - 2026

Ends On

7 - August - 2026

Location

Spain - Barcelona

Language

English

View the course details and register to enroll.

Register Now

View Course Introductory PDF

Targeted Audience

  • Business professionals
  • Business and data analysts
  • Finance and accounting staff
  • Marketing and sales specialists
  • HR professionals
  • IT personnel
  • Researchers and analysts
  • Supervisors and decision-support staff

Targeted Skills

  • Data cleaning and normalisation
  • Advanced modelling and scenario analysis
  • Dashboard and scorecard design
  • Data integration from multiple sources
  • Predictive and statistical analysis
  • KPI development
  • Advanced reporting and BI visualisation
  • Data quality assessment

Expected Outcomes

  • Build advanced Excel-based BI and data analysis systems
  • Clean, normalise, and integrate data effectively
  • Develop analytical models using formulas, arrays, and dynamic tables
  • Create interactive dashboards and reports
  • Apply financial, operational, and statistical analysis methods
  • Implement what-if scenarios and sensitivity analysis
  • Use Excel’s predictive tools for regression and forecasting
  • Apply time-series techniques for trend and predictive analysis
  • Strengthen data-driven decision-making capabilities
  • Integrate Excel with external databases and data sources

Training Topics Index

  • Consolidating data from multiple sources
  • Advanced data validation techniques
  • Array formulas and advanced calculations
  • Text and numeric management tools
  • Named ranges and dynamic referencing
  • Sumifs, Countifs, Sumproduct, and advanced logic functions
  • Lookup functions and advanced search techniques
  • Date slicing and formatting
  • Text splitting, trimming, and transformation

  • The 20 essential Pivot Table tools
  • Creating and formatting Pivot Tables
  • Sorting and filtering advanced options
  • Value summarisation techniques
  • Pivot Charts and visual reporting
  • Slicers, filter pages, and automation
  • Linking Pivot Tables to PowerPoint
  • Conditional formatting and report design

  • Using form controls for modelling
  • IF and CHOOSE-based modelling
  • Scenario Manager
  • Linking Excel with Text, Access, SQL, and web sources
  • Integrating data between Excel workbooks

  • Definition and purpose of financial models
  • Ten steps to building structured financial models
  • Flowcharting techniques
  • Strategic and operational business structures
  • Financial analysis objectives
  • Key performance metrics and value creation

  • Developing time-series models
  • Moving averages, smoothing, regression
  • Validating forecasting models
  • Sensitivity analysis and what-if scenarios
  • Risk measurement principles
  • Portfolio theory and CAPM essentials
  • Using Excel to calculate Beta

  • Advanced charting and visualisation
  • Camera tool techniques
  • Formula-driven visualisation
  • Using symbols and enhanced fonts
  • Sparklines and unconventional charts

  • Protecting sheets and workbooks
  • Data entry forms
  • Custom lists and automation
  • Text-to-speech tools
  • Advanced conditional formatting
  • Productivity shortcuts