Data Analysis and Visualization with Microsoft Excel

Microsoft Excel: Advanced Data Analysis and Visualization is an advanced-level course designed for professionals who need to analyze large, complex datasets and communicate insights effectively. This course goes beyond traditional spreadsheet usage and focuses on applying data analysis, statistical techniques, data modeling, and advanced visualizations within Excel. Participants learn how to connect to multiple data sources, transform and model data, perform statistical analysis, and build interactive dashboards and reports. By the end of the course, learners will be able to turn raw data into meaningful insights and present those insights in compelling, data-driven visual formats that support informed decision-making.

• Apply data analysis fundamentals to structure and interpret datasets
• Analyze data using advanced formulas, functions, and named ranges
• Create and customize charts following best practices in data visualization
• Use PivotTables and PivotCharts to analyze and summarize large datasets
• Build interactive dashboards using slicers, timelines, and advanced visuals
• Create geospatial visualizations using Excel map charts
• Perform statistical analysis using trendlines, sparklines, and the Analysis ToolPak
• Connect to external data sources and transform data using queries
• Clean, combine, and shape data for analysis
• Model and analyze data using Power Pivot and data models
• Design and present clear, actionable reports that communicate insights effectively

• Data analysts and business analysts
• Professionals responsible for data analysis, reporting, and decision support
• Excel users with strong foundational skills seeking advanced analytics capabilities
• Managers and professionals who need to interpret, visualize, and present data insights
• Anyone using Excel as a primary tool for data-driven analysis and reporting

• Baseline proficiency with Microsoft Excel worksheets
• Experience creating workbooks that use formulas and functions
• Familiarity with sorting, filtering, and working with structured data
• Workplace experience using Excel for analysis is strongly recommended