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Data Visualization in Excel

BasicSkill Level
4.8+
3,846 reviews
Updated 04/2026
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
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ExcelData Visualization
3 hr
9 videos
30 Exercises
2,500 XP
51,462
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Course Description

Building basic Charts

You will embark on an immersive exploration of basic Excel charts, equipping yourself with the skills to create impactful visualizations and customize chart types. Through a comprehensive understanding of Series and Categories, you will gain the expertise to transform data into compelling narratives that resonate with your audience.

Advancing to more complex charts

Ready to further enhance your charting skills with Excel? You will explore how to work with dual series and prepare more advanced charts, such as Bullet charts, Waterfall charts, or Scatter plots. Additionally, we will investigate various chart editing options.

Data Visualization best practices

Like any discipline, data visualization has its best practices, and it's time to take a closer look at the dos and don'ts. We will improve our skills in selecting chart elements, applying colors, legends, and labels, while also learning how to troubleshoot and customize poorly designed visuals for the benefit of end users.

Visualizing disaggregated data with PivotCharts

Get ready for an exciting journey into the world of visualizing disaggregated data! We'll explore PivotTables, PivotCharts, and how to combine them into a dynamic mini-dashboard. Are you ready to unlock the true power of your data?

What you'll learn

  • Distinguish advanced Excel chart types used for multi-measure and comparative analysis
  • Evaluate Excel chart formatting and design choices for clarity and accuracy
  • Identify appropriate Excel chart types for different data and analysis needs

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Prerequisites

Introduction to Excel
1

Building basic charts

In Chapter 1, you will embark on an immersive exploration of basic Excel charts, equipping yourself with the skills to create impactful visualizations and customize chart types. Through a comprehensive understanding of Series and Categories, you will gain the expertise to transform data into compelling narratives that resonate with your audience.
Start Chapter
2

Advancing to more complex charts

Ready to further enhance your charting skills with Excel? This chapter will explore how to work with dual series and prepare more advanced charts, such as Bullet charts, Waterfall charts, or Scatter plots. Additionally, we will investigate various chart editing options. There's a lot to learn, so let's get started!
Start Chapter
3

Data visualization best practices

Like any discipline, data visualization has its best practices, and it's time to take a closer look at the dos and don'ts. In this chapter, we will improve our skills in selecting chart elements, applying colors, legends, and labels, while also learning how to troubleshoot and customize poorly designed visuals for the benefit of end users.
Start Chapter
4

Visualizing disaggregated data with PivotCharts

Get ready for an exciting journey into the world of visualizing disaggregated data in this final chapter! We'll explore PivotTables, PivotCharts, and how to combine them into a dynamic mini-dashboard. Are you ready to unlock the true power of your data? Let's dive in!
Start Chapter
Data Visualization in Excel
Course
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*4.8
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FAQs

Do I need prior experience in data visualization or Excel to take this course?

You'll need to know how to navigate Excel and how to create basic visualizations in Excel.

What types of visualizations will I learn to create in this course?

In this course, you'll learn to create a variety of visualizations, including basic bar and line charts, advanced scatter plots, bullet charts, and waterfall charts. Additionally, you'll learn how to use PivotCharts to visualize both summarized and disaggregated raw data.

What best practices for data visualization will I learn in this course?

Throughout the course, you'll learn the best practices for data visualization, including how to choose the right type of chart for your data, design principles to enhance clarity and impact, and how to leverage visual design elements to communicate data insights effectively.

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