Written by BLOGDAY Updated at Aug 16, 2024 | Reading time: 5
Data Analysis: Use Pivot Tables to summarize, analyze, explore, and present large amounts of data.
Session 1: Introduction to Microsoft Excel
Overview of Excel interface and features
Basic spreadsheet navigation and manipulation
Introduction to formulas and functions
Data entry and formatting techniques
Session 2: Intermediate Excel Skills
Data validation and conditional formatting
Working with multiple worksheets and workbooks
Introduction to data analysis tools (e.g., sorting, filtering)
Session 3: Understanding Pivot Tables
What are pivot tables and why are they useful?
Creating pivot tables from a dataset
Customizing pivot tables: row labels, column labels, values, filters
Grouping and summarizing data in pivot tables
Session 4: Advanced Pivot Table Techniques
Working with calculated fields and items
Using slicers for interactive filtering
Incorporating external data sources into pivot tables
Creating pivot charts from pivot tables
Session 5: Real World Applications
Case studies and practical examples of using pivot tables for data analysis
Tips and tricks for optimizing pivot table performance
Troubleshooting common issues and errors
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