Data Visualization Techniques in Excel
( 25 Modules )

Module #1
Introduction to Data Visualization in Excel
Overview of data visualization, importance of visualization in Excel, and course objectives

Module #2
Setting up Your Data for Visualization
Organizing and preparing data for visualization, including data cleaning and formatting

Module #3
Excels Built-in Visualization Tools
Overview of Excels built-in visualization tools, including charts, tables, and sparklines

Module #4
Creating Effective Column Charts
Best practices for creating column charts, including customization and formatting

Module #5
Working with Line Charts and Area Charts
Creating and customizing line charts and area charts, including using markers and trends

Module #6
Pie Charts and Donut Charts
Creating and using pie charts and donut charts, including limitations and best practices

Module #7
Bar Charts and Histograms
Creating and customizing bar charts and histograms, including using error bars and gap widths

Module #8
Scatter Plots and Bubble Charts
Creating and interpreting scatter plots and bubble charts, including using trendlines and annotations

Module #9
Waterfall Charts and Stacked Charts
Creating and using waterfall charts and stacked charts, including using negative values and customizing labels

Module #10
Using Conditional Formatting for Visualization
Using conditional formatting to highlight trends and patterns in data, including using heatmaps and icon sets

Module #11
Introduction to PivotTables for Data Visualization
Using PivotTables to summarize and analyze data, including creating custom fields and calculations

Module #12
Using Power BI in Excel
Introduction to Power BI, including creating reports and dashboards, and using DAX formulas

Module #13
Geographic Data Visualization with Maps
Using maps to visualize geographic data, including using Power Maps and 3D Maps

Module #14
Interactive Visualizations with Slicers and Timelines
Using slicers and timelines to create interactive visualizations, including using filters and drill-downs

Module #15
Storytelling with Data Visualization
Best practices for telling stories with data visualization, including using titles, labels, and annotations

Module #16
Advanced Charting Techniques
Using advanced charting techniques, including using combo charts, gauges, and treemaps

Module #17
Visualization Best Practices
Best practices for data visualization, including using color, avoiding 3D, and selecting the right chart type

Module #18
Common Mistakes in Data Visualization
Common mistakes in data visualization, including pitfalls to avoid and how to fix common errors

Module #19
Data Visualization for Specific Industries
Data visualization techniques for specific industries, including finance, healthcare, and marketing

Module #20
Data Visualization with Add-ins and Macros
Using add-ins and macros to extend Excels data visualization capabilities, including using VBA and APIs

Module #21
Data Visualization for Big Data
Data visualization techniques for large datasets, including using Power Pivot and Power BI

Module #22
Designing Effective Dashboards
Best practices for designing effective dashboards, including using layout, color, and interactivity

Module #23
Creating Interactive Reports
Creating interactive reports using Excels built-in tools, including using slicers and interactive charts

Module #24
Publishing and Sharing Visualizations
Publishing and sharing visualizations, including using Excel Online, Power BI Service, and PDFs

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Visualization Techniques in Excel career

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Data Visualization Techniques in Excel ( 25 Modules )

Data Visualization Techniques in Excel
( 25 Modules )