• Post category:StudyBullet-19
  • Reading time:3 mins read


Learn all about Microsoft Excel Pivot tables with Practical

What you will learn

Prepare Excel data for PivotTable analysis and reporting.

Perform and manage PivotTable calculations effectively.

Update and refresh PivotTable source data when necessary.

Create and maintain relationships between data tables.

Connect PivotTables to external and internal data sources.

Use basic formulas to create PivotTables

Build and manage Excel Data Models to integrate data from multiple sources.

Design dashboard components using PivotTables for insightful reporting.

Why take this course?

**This course provides downloadable instructor and exercise files to help you follow along and practice.**

In today’s data-driven world, data analysis plays a critical role in understanding businesses, identifying trends, and forecasting needs. Having the right skills to efficiently handle and analyze data is essential.

PivotTables are a key Excel tool for analyzing and visualizing large datasets. They allow you to quickly summarize and group large amounts of data interactively, making it easier to understand and present the information effectively.


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In this course, you’ll learn the importance of cleaning your data before creating a PivotTable. You’ll also explore how to create and format PivotTables and PivotCharts. We cover advanced features such as sorting, slicers, timelines, calculated fields, and conditional formatting to help you maximize the potential of this powerful tool.

Designed for both beginners and intermediate users, this course will help expand your Excel skills. You can also download the Excel data files used in the tutorials to follow along step by step.

This Course,

  1. Download and work with instructor-provided Excel files for hands-on practice.
  2. Understand the importance of data cleaning before creating PivotTables.
  3. Arranging the data set for the analysis
  4. Learn main excel formulas
  5. Create PivotTables to summarize and analyze large datasets.
  6. Build and format PivotCharts for visual data representation.
  7. Utilize advanced PivotTable features like sorting, slicers, and timelines.
  8. Apply calculated fields and conditional formatting to enhance your data insights.
  9. Efficiently group and aggregate data using PivotTable tools.
  10. Expand your Excel skills for data analysis and visualization tasks.
  11. Follow along with exercise files to practice and master key concepts
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