Suggested agenda for a 15-session Microsoft Excel training program. This program covers basic, intermediate, and advanced Excel skills over one-hour sessions.
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Session 1-3: Basic Excel Skills (3 hours)
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Session 1: Introduction to Excel
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Overview of Excel interface
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Navigating worksheets and cells
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Entering and formatting data
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Session 2: Basic Formulas and Functions
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Understanding cell references
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Introduction to basic formulas (SUM, AVERAGE, COUNT)
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AutoFill feature
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Session 3: Data Management in Excel
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Sorting and filtering data
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Data validation and drop-down lists
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Introduction to tables and conditional formatting
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Session 4-7: Intermediate Excel Skills (4 hours)
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Session 4: Advanced Formulas and Functions
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Logical functions (IF, AND, OR)
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Lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH)
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Session 5: Data Analysis Tools
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Pivot tables: Creating and customizing
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Pivot charts: Visualizing data
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Introduction to Power Query for data import and transformation
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Session 6: Working with Templates and Data Visualization
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Creating and using templates
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Introduction to advanced chart types (combo charts, sparklines)
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Chart customization and best practices
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Session 7: Collaboration and Sharing
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Protecting worksheets and workbooks
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Comments and collaboration tools
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Sharing workbooks and setting permissions
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Session 8-12: Advanced Excel Skills (5 hours)
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Session 8: Advanced Data Analysis Tools
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Advanced PivotTable techniques (slicers, calculated fields/items)
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Introduction to Power Pivot for data modeling
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Session 9: Advanced Data Analysis Techniques
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Statistical functions (AVERAGEIF, COUNTIF, etc.)
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Advanced filtering options
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Session 10: Advanced Data Modeling with Power Query
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Merging queries and data sources
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Transformations and data cleansing techniques
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Session 11: Advanced Functions and Formulas
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Array formulas and functions
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Text functions and data cleansing techniques
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Session 12: Excel Efficiency Tips and Tricks
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Keyboard shortcuts for efficiency
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Useful tips for working faster in Excel
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Review and Q&A session
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Session 13-15: Practical Applications and Advanced Topics (3 hours)
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Session 13: Data Visualization and Dashboards
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Creating interactive dashboards
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Advanced chart interactivity
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Using slicers and timelines
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Session 14: Data Analysis in Excel
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Advanced data analysis techniques
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Sensitivity analysis and scenario manager
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Forecasting and trend analysis
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Session 15: Excel in Business
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Financial modeling in Excel
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Integrating Excel with other Microsoft Office applications
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Best practices for data analysis and reporting in business contexts
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Note: The content and pace will be customized based on your exact needs and expertise levels. Practical exercises and real-world examples will enhance the learning experience.