Formatting PivotTables Values & LaYout: Excel for Beginners

Formatting PivotTables Values & Layout: Excel for Beginners
Published 4/2025
Duration: 52m | .MP4 1920×1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 633 MB

Streamline your data analysis process with PivotTables for Beginners.

What you’ll learn
– Apply number formatting to PivotTable values.
– Replace blank cells with specified values.
– Customize subtotal and grand total display.
– Create and apply custom PivotTable styles.

Requirements
– Basic Excel knowledge.
– Understanding of basic data concepts.
– No prior PivotTable experience needed.
– Access to a version of Excel that supports PivotTables.

Description
**This course includes downloadable course instructor files and exercise files to work with and follow along.**

Welcome to PivotTables for Beginners, your gateway to mastering one of Excel’s most powerful data analysis tools. In this beginner-friendly course, you’ll learn essential techniques to effectively analyze and present your data, from formatting values to handling cells with no data.

Join us and transform how you handle data with PivotTables, making your analysis more dynamic and efficient. Course files are included and available to download, allowing you to follow along and practice as you learn. Whether you’re working with financial reports, sales figures, or project metrics, this course equips you with a practical toolset to manage and interpret data with clarity and ease.

In this course, you will learn how to:

Apply number formatting to PivotTable values.

Replace blank cells with specified values.

Customize subtotal and grand total display.

Create and apply custom PivotTable styles.

This course includes:

51 minutesof video tutorials

13 individual videolectures

Course and Exercise Filesto follow along

Certificate of completion

Who this course is for:
– Individuals new to Excel who want to develop foundational skills in using PivotTables.
– Professionals working with large datasets who want to gain actionable insights.
– Students seeking to boost their academic or professional skills in data management.
– Individuals transitioning into roles that require a basic understanding of data analytics.
– Anyone looking to enhance their resume by adding a valuable, practical data analysis skill.
More Info

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