Module 1: Introduction to Excel - Overview of Excel interface (ribbons, tabs, and menus). - Understanding workbooks, worksheets, and cells. - Basic data entry and cell formatting. - Saving and organizing files. Suggested Activities: - Explore and label different parts of the Excel interface. - Practice entering data into cells and apply basic formatting. - Create and save a simple workbook with multiple sheets. Module 2: Basic Formulas and Functions - Introduction to formulas and cell references. - Using basic arithmetic operations (SUM, AVERAGE, MIN, MAX). - Understanding relative, absolute, and mixed cell references. - Introduction to AutoSum and basic functions. Suggested Activities: - Create a budget sheet and use SUM, AVERAGE, MIN, and MAX functions. - Practice applying relative and absolute references in formulas. Module 3: Data Management - Sorting and filtering data. - Using basic conditional formatting. - Working with text functions (e.g., CONCATENATE, LEFT, RIGHT, MID). - Removing duplicates and organizing data. Suggested Activities: - Sort and filter a dataset (e.g., a list of students or inventory). - Apply conditional formatting to highlight important data. - Use text functions to clean and organize a list of names. Module 4: Intermediate Formulas and Functions - Introduction to logical functions (IF, AND, OR). - Using lookup functions (VLOOKUP, HLOOKUP). - Understanding and using the COUNTIF and SUMIF functions. - Combining functions for advanced calculations. Suggested Activities: - Create a grading sheet using IF and VLOOKUP functions. - Use COUNTIF and SUMIF to analyze sales or survey data. Module 5: Working with Tables and Data Validation - Creating and formatting Excel tables. - Using structured references in tables. - Applying data validation rules to control data entry. - Understanding table relationships and creating simple databases. Suggested Activities: - Create an inventory table with data validation rules. - Practice adding and managing data within a structured table. Module 6: Charts and Data Visualization - Introduction to different types of charts (bar, line, pie, etc.). - Creating and formatting charts to represent data. - Using sparklines and conditional formatting for data visualization. - Customizing chart elements (titles, legends, axis labels). Suggested Activities: - Create a chart to visualize sales or survey data. - Experiment with different chart types and formats. - Use sparklines to visualize trends in a small dataset. Module 7: PivotTables and PivotCharts - Introduction to PivotTables: Creating, formatting, and using them. - Analyzing data with PivotTables (e.g., summarizing sales, expenses). - Creating PivotCharts for dynamic data visualization. - Filtering and slicing data within PivotTables and PivotCharts. Suggested Activities: - Create a PivotTable to analyze a large dataset (e.g., sales by region). - Practice filtering data and creating PivotCharts. Module 8: Advanced Functions and Formulas - Using advanced functions: INDEX, MATCH, and OFFSET. - Introduction to array formulas. - Using INDIRECT and dynamic ranges in formulas. - Nesting functions for complex calculations. Suggested Activities: - Combine INDEX and MATCH to perform advanced lookups. - Experiment with array formulas for multi-criteria calculations. - Create dynamic named ranges and use them in formulas. Module 9: Macros and Automation - Introduction to macros and VBA (Visual Basic for Applications). - Recording and running basic macros. - Editing macros using the VBA editor. - Automating repetitive tasks using macros. Suggested Activities: - Record a macro to automate a common task (e.g., formatting a report). - Experiment with editing the VBA code of a recorded macro. Module 10: Data Analysis Tools - Introduction to data analysis tools (e.g., Goal Seek, Solver). - Using What-If Analysis and Scenario Manager. - Performing data analysis with Excel add-ins (e.g., Analysis ToolPak). - Introduction to statistical functions (e.g., STDEV, CORREL). Suggested Activities: - Use Goal Seek to find the input required for a specific outcome. - Create and analyze scenarios using Scenario Manager. - Perform a regression analysis using the Analysis ToolPak. Module 11: Collaboration and Sharing - Sharing workbooks and collaborating in real-time. - Using Excel’s track changes and comments features. - Protecting workbooks and worksheets with passwords. - Understanding and resolving collaboration conflicts. Suggested Activities: - Share a workbook with a classmate and collaborate on a project. - Practice adding and responding to comments in a shared workbook. - Protect a worksheet and explore the options for locking cells. Module 12: Advanced Excel Techniques - Introduction to Power Query and Power Pivot for data modeling. - Creating custom functions and using Excel add-ins. - Optimizing Excel performance with large datasets. - Advanced charting techniques and dashboards. Suggested Activities: - Import and clean data using Power Query. - Create a dashboard that combines multiple charts and data visualizations. - Experiment with Power Pivot to analyze large datasets.