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

Introduction

As organisations accumulate vast amounts of raw and unstructured data, the need for advanced data analysis and Business Intelligence capabilities becomes essential. Data alone does not create value—its interpretation, modelling, and transformation into actionable insights is what drives organisational performance.
This course equips participants with state-of-the-art data analysis skills using Excel as a robust BI platform. Through extensive hands-on exercises, participants will learn how to clean, normalise, analyse, and integrate data from multiple sources while creating dynamic dashboards, KPIs, and predictive models that support strategic, tactical, and operational decision-making..

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

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code