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Microsoft Excel 2016 Level 3.5: Creating Sparklines and Mapping Data

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Course Format
Video on Demand  Video On Demand
Product ID
sonie16cs_vod
Training Time ?
9 to 14 minutes
Language(s)
English
Video Format
High Definition
Required Plugins
None
Number of Lessons
2
Quiz Questions
5
Closed Captioning
Question Feedback
Wrong Answer Remediation
Lesson Bookmarking
Downloadable Resources
Interactive Producer
Mastery Training Content Network
Original Content Producer
Sonic Performance Support GmbH
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Overview

The amount of data one can accumulate in an Excel workbook can be immense. Excel 2016 includes tools to help users create more visually appealing presentations of their data. This online training demonstrates how to create Sparklines and Map Data in Microsoft Excel 2016.

A Sparkline allows a user to provide a quick snapshot of data visually in a single cell. This training video shows examples of how to use Microsoft Excel 2016 Sparklines to present data. This video also explores the power of Mapping data. Excel 2016 allows users to create maps to display geographic data, and this course provides the step-by-step directions to get started.

Microsoft Excel 2016 Sparklines and Mapping Data are useful tools for presenting data. Use this course to become a more proficient Excel 2016 user and create representations of your data everyone can quickly understand and analyze.

Video on Demand   This course is in the Video On Demand format, to read about Video On Demand features click here.

  • Install on any SCORM LMS
  • Full-screen video presentation
  • Print certificate and wallet card
  • You have 60 days to complete the course
Audience

Excel 2016 users

Topics
The course presents the following topical areas:
  • Create Sparklines
  • Map Data
Intended Performance Outcomes
Upon successful completion of this course you will be better prepared to:
  • Create sparklines.
    • Select a sparkline that will display data trends.
    • Select a sparkline that will display a relative value.
    • Recall different contextual tools to easily interpret data.
  • Map data.
    • Recall where the 3D Map feature is located.
    • Identify features available with 3D mapping.

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