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


