Course Overview

The Advanced Excel Data Analysis course is designed to equip participants with advanced skills for analysing complex datasets, identifying trends and patterns, developing interactive dashboards, conducting statistical and financial analysis, and producing decision-ready reports. The course combines advanced Excel formulas, PivotTables, Power Query, data visualization, forecasting, scenario analysis, and practical analytical techniques using real-world datasets.

Target Participants

  • Data and business analysts
  • Finance and accounting professionals
  • Managers and supervisors
  • Monitoring and evaluation professionals
  • Researchers and statisticians
  • Project and programme officers
  • Operations and performance analysts
  • Marketing and sales professionals
  • Human resource professionals
  • Procurement and supply chain professionals
  • Consultants and business advisors
  • Professionals with intermediate Excel and data analysis skills

Course Objectives

By the end of the course, participants will be able to:

  • Apply advanced Excel functions to complex data analysis problems.
  • Clean, transform, and structure large datasets for analysis.
  • Use advanced lookup, logical, statistical, and financial functions.
  • Perform descriptive, comparative, and trend analysis.
  • Use PivotTables, PivotCharts, slicers, and timelines for advanced analysis.
  • Develop interactive dashboards and KPI reporting systems.
  • Apply advanced data visualization techniques.
  • Conduct correlation, variance, and sensitivity analysis.
  • Apply forecasting and scenario modelling techniques.
  • Use Power Query to import, combine, and transform datasets.
  • Automate recurring data preparation and reporting processes.
  • Interpret analytical results and communicate insights effectively.
  • Develop professional Excel-based decision-support tools.

Course Outline

Module 1: Advanced Excel Data Analysis Framework

  • Data analysis workflow
  • Structuring datasets for analysis
  • Excel tables and structured references
  • Named ranges
  • Managing large datasets
  • Analytical workbook design

Module 2: Advanced Formulas and Functions

  • XLOOKUP
  • INDEX and MATCH
  • Advanced logical functions
  • SUMIFS, COUNTIFS and AVERAGEIFS
  • Statistical functions
  • Financial functions
  • Dynamic array functions
  • Nested formulas
  • Error handling and formula auditing

Module 3: Advanced Data Cleaning and Transformation

  • Identifying data inconsistencies
  • Handling missing data
  • Removing duplicates
  • Text and date transformations
  • Data validation
  • Advanced sorting and filtering
  • Preparing datasets for analysis

Module 4: Advanced PivotTable Analysis

  • Advanced PivotTables
  • Grouping and calculated fields
  • Multiple-level analysis
  • PivotCharts
  • Slicers and timelines
  • Interactive analytical reports
  • Drill-down analysis

Module 5: Advanced Statistical Analysis

  • Descriptive statistics
  • Mean, median, and mode
  • Variance and standard deviation
  • Percentiles and quartiles
  • Frequency distributions
  • Correlation analysis
  • Comparative analysis
  • Trend analysis

Module 6: Advanced Data Visualization

  • Choosing appropriate visualizations
  • Advanced charts
  • Combination charts
  • Dynamic charts
  • Conditional formatting
  • KPI visualizations
  • Interactive dashboards
  • Data storytelling

Module 7: Forecasting and Predictive Analysis

  • Trendlines
  • Moving averages
  • Forecasting functions
  • Time-series analysis
  • Scenario modelling
  • Sensitivity analysis
  • What-if analysis
  • Interpreting forecasts

Module 8: Power Query for Advanced Analysis

  • Importing data from multiple sources
  • Data transformation
  • Merging datasets
  • Appending datasets
  • Automated data cleaning
  • Refreshable analytical models
  • Building repeatable data workflows

Module 9: Advanced Business and Financial Analysis

  • Financial performance analysis
  • Budget and variance analysis
  • Revenue and cost analysis
  • Profitability analysis
  • KPI analysis
  • Operational performance analysis
  • Decision-support modelling

Module 10: Advanced Excel Dashboards and Reporting

  • Dashboard architecture
  • Interactive KPI dashboards
  • Management reporting
  • Automated reporting
  • Presenting analytical findings
  • Designing decision-oriented reports

 

Course Schedules:

Dates Fees Location Apply