Data Analysis and Visualization with Microsoft® Excel®
Course number: CGIDAV40 - 1 Day (weekdays or on-demand)
This course shows you how to use Microsoft Excel to make sense of data and communicate it clearly. You’ll learn how to organize, clean, and analyze datasets, build dashboards that update with a click, and present insights using tools like PivotTables, Power Pivot, and geospatial charts. For professionals responsible for reporting, forecasting, or decision support, this training delivers practical, real-world skills you can apply right away.
Course Objectives
This course gives you the tools to move beyond rows and columns and start driving decisions with data. You’ll build confidence using Excel to solve real business problems—turning raw data into insight, and insight into action.
- Clean and prepare data using tables, formulas, and functions
- Analyze trends and patterns with PivotTables and PivotCharts
- Build interactive dashboards with slicers and timelines
- Use geospatial and statistical tools to deepen your analysis
- Model data using Power Pivot and connect multiple sources
Prerequisites
- Microsoft Excel Parts1 & 2 or equivalent experience
Target Audience
This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and functions.
Course Content
- Introduction to data science
- Create and modify tables
- Sort and filter datasets
- Create charts to represent trends and comparisons
- Format and style visualizations for clarity
- Apply best practices in chart design
- Use formulas and named ranges for efficient analysis
- Apply logical and lookup functions
- Build forms, use data validation, and automate inputs
- Build PivotTables from raw data
- Analyze, filter, and summarize results
- Use PivotCharts to visualize dynamic data
- Add slicers and timelines for interactivity
- Combine visual elements into a dashboard
- Create map charts to show data by location
- Customize and interpret map-based visuals
- Use sparklines and trendlines to show patterns
- Apply the Data Analysis ToolPak for statistical insights
- Connect to outside data sources with queries
- Clean, combine, and shape raw data for analysis
- Enable Power Pivot and load data models
- Use DAX formulas for advanced calculations
- Create relationships between datasets
- Plan and build formatted Excel reports for stakeholders
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