Microsoft Excel: Data Analysis with Excel Pivot Tables Course Syllabus

Overview (80-120 words) describing structure and time commitment. This comprehensive course is designed to take beginners from zero to proficient in using Excel PivotTables for real-world data analysis. With over 24 hours of structured content, learners will progress through hands-on modules covering essential and advanced PivotTable features. Each section builds on the previous one, combining theoretical knowledge with practical exercises using real datasets. You'll gain confidence in summarizing, filtering, grouping, and visualizing data efficiently. The course concludes with practical case studies that simulate real business scenarios, ensuring you can apply your skills effectively. Lifetime access allows you to learn at your own pace and revisit materials whenever needed.

Module 1: Introduction to PivotTables

Estimated time: 2 hours

• What are PivotTables and why are they useful?
• Creating your first PivotTable from a dataset
• Understanding the PivotTable Field List and layout

Module 2: Data Grouping and Sorting

Estimated time: 4 hours

• Grouping data by date, text, and numeric ranges
• Sorting data within PivotTables for better analysis
• Using custom lists for sorting

Module 3: Advanced Calculations in PivotTables

Estimated time: 6 hours

• Adding calculated fields and items
• Using formulas within PivotTables
• Applying conditional formatting to highlight key data points

Module 4: Filtering and Slicing Data

Estimated time: 6 hours

• Applying filters to PivotTables
• Using slicers for interactive data filtering
• Creating timelines for date-based filtering

Module 5: Visualizing Data with PivotCharts

Estimated time: 3 hours

• Creating and customizing PivotCharts
• Understanding the relationship between PivotTables and PivotCharts
• Best practices for presenting data visually

Module 6: Practical Case Studies

Estimated time: 3 hours

• Analyzing sales data to identify trends
• Creating financial reports using PivotTables
• Solving business problems with data analysis techniques

Prerequisites

• Familiarity with basic Excel navigation and functions
• Access to Excel 2016 or later (Excel 2016 used in demonstrations)
• No prior PivotTable experience required

What You'll Be Able to Do After

• Create and modify PivotTables from raw data
• Group and sort data effectively for meaningful insights
• Perform advanced calculations using calculated fields and conditional formatting
• Apply filters, slicers, and timelines for dynamic reporting
• Visualize PivotTable data using PivotCharts and apply best practices in data presentation