Course Outline

 Module 1: Foundations of Election Data Analytics

• Overview of election data and its structure

• Types of data sources (polling stations, results forms)

• Excel interface and basic functionality

• Data cleaning and preparation techniques

• Practical Exercise: Preparing raw election datasets

Module 2: Data Analysis in Excel

• Sorting, filtering, and conditional formatting

• Lookup functions and data linking

• PivotTables and PivotCharts

• Key Performance Indicators (e.g., voter turnout, results)

• Dashboard design principles

• Case Study: Building an election results dashboard

Module 3: Data Modeling in Power BI

• Introduction to Power BI for election data

• Connecting to multiple election data sources

• Data transformation using Power Query

• Modeling relationships and structuring tables

• Practical Exercise: Preparing an election data model

Module 4: Analytical Calculations using DAX

• Calculated columns vs measures

• Basic DAX functions for election metrics

• Aggregation and filtering logic

• Time-based analysis (trends over days of polling)

• Practical Exercise: Creating KPIs for election data

Module 5: Visualization, Dashboards, and Reporting

• Designing effective visualizations

• Interactive filters and drill-down analysis

• Publishing and sharing reports

• Data storytelling for election results

• Action Planning: Developing an interactive election dashboard