Learn How to Use Excel for Data Visualization in Just 2 Hours
November 23, 2015 Editor 0
We have all worked with Microsoft Excel, but few of us really know its power to meet a wide range of data analysis and visualization needs. Used correctly, we can beautifully visualize M&E results in Excel.
That’s why we’ve created Introduction to Excel for Data Visualization – an interactive TechChange course for those who want to harness the power of Excel for Data Visualization. The self-paced course can be completed anytime, in under two hours.
Intro to Excel for Data Visualization
We spent six weeks creating this interactive course and we’re excited to make it available for you! In Intro to Excel for Data Visualization, you will learn the nuts and bolts of how to use Excel functions and features like INDEX MATCH, PivotTables, Slicers, and more.You will also learn key data visualization principles that will help you optimize your data visualizations to best communicate your data.
Along with going over some important Excel functions like VLookup, basic macros, pivot tables, slicers, to create both static and interactive visualizations, the course includes case studies of how two different organizations used Excel for their data visualization needs.
You will see how D3 systems used Excel to visualize public opinion data in Iraq, and how JSI used Excel to create a dashboard for global contraceptive security indicators. By interacting with real world examples, you will be able to see the potential Excel has in your own work.
Samita Thapa is the Global Communications and Engagement Officer at TechChange
Go to SourceReprinted from ICTWorks
- How GE Uses Data Visualization to Tell Complex Stories
- The Importance of Spatial Thinking Now
- You’ve Got the Information But What Does It Mean? Welcome to “From Data to Action”
- How To Beautifully Visualize M&E Results in Microsoft Excel
- What Is the Inveneo “Self-Contained Site Survey Tool”?
- Top Tips for Converting Paper Forms to Digital Mobile Forms
Subscribe to our stories
- Opportunities and Challenges for Data-Driven Agricultural Innovation June 21, 2017
- Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond. June 21, 2017
- Leveraging ‘suptech’ for financial inclusion in Rwanda June 21, 2017
- Malaria diagnosis and mapping with m-Health and geographic information systems (GIS): evidence from Uganda. June 21, 2017
- WHO cone bio-assays of classical and new-generation long-lasting insecticidal nets call for innovative insecticides targeting the knock-down resistance mechanism in Benin. June 14, 2017