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This course will help to demonstrate how to access, connect, edit, combine, save data sources, use of statistical techniques, geographic mapping techniques, images and geocoding to build visualizations and creation data visualizations using visual best practices and efficient data connection methods

Course Access

Unlimited Duration

Last Updated

July 29, 2021

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This course provides intermediate level concepts and procedures for data manipulation and visualization. Using data visualization software, students will create various chart types and visualizations, use calculations for the purpose of data manipulation, use parameters to control data values, create visualizations using geo-mapping techniques, combine data sources for blending and prepare data for analysis.

Course Curriculum

    • Compare and contrast the most relevant sources of business data. 00:00:00
    • Analyze the similarities and differences between working with data files versus database servers. 00:00:00
    • Explain and apply Dimensions and Measures when visualizing data. 00:00:00
    • Joining multiple data sources into one visualization. 00:00:00
    • Troubleshoot data connection problems such as changes to underlying sources. 00:00:00
    • Create views including: Geographic MapsHeat MapsPie and Bar Charts Aggregate and Disaggregate data 00:00:00
    • Sort and Group data within a visualization. 00:00:00
    • Create subtotals and cross-tabs. 00:00:00
    • Create trend lines, subtotals, and Aliases 00:00:00
    • Manipulate string data using built in string functions. 00:00:00
    • Combine date functionality to describe data. 00:00:00
    • Apply logic statements to build a business visualization 00:00:00
    • Apply appropriate labels and annotations 00:00:00
    • Implement titles and captions 00:00:00
    • Make worksheets interactive by using actions and filters. 00:00:00
    • Publish workbooks to formats including:Adobe ReaderPackaged WorkbooksPDFHTML 00:00:00
    • Choose the most appropriate type of visualization when making comparisons. 00:00:00
    • Apply the most effective visualization when checking the progress of a project or process. 00:00:00
    • Visualization of spatial relationships. 00:00:00
    • Incorporate an iterative approach and user feedback when improving and versioning data visualizations. 00:00:00

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