Visual Interpreter Objective Data Literacy Assessment

$25.00

A Visual Interpreter is fluent in the visual language of data. They’ve mastered the 25 most common chart types and their pitfalls. They understand how data is converted to graphical marks with visual encodings, the main principles for evaluating the effectiveness of charts, and critical scenarios like change over time and part-to-whole. Growing in data literacy is one of the most strategic development paths we can embark upon. Passing the Visual Interpreter Assessment proves you are proficient in the visual aspects of data literacy, which we cover in our Data Literacy Level 1 on-demand course: Learning to See Data.

If you score 80% or higher, you’ll be awarded the Visual Interpreter Badge, which you can add to your LinkedIn profile to show off your skills. If you score less than 80%, you’ll receive a promo code for $25 off our Data Literacy Level 1 on-demand course: Learning to See Data, so it’s a low risk investment in your data literacy education! Not sure you’re ready for the assessment? By taking Data Literacy Level 1, you’ll also have the opportunity to earn your Visual Interpreter Badge.

You can also purchase this assessment as a bundle with the Data Citizen Assessment, which is based on Data Literacy Fundamentals, the first of four levels in our Data Literacy course series.

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Description

How does it work?

  • This assessment is timed and can only be taken once. You’ll have 30 minutes to answer 25 questions.
  • After you purchase, you’ll be able to access the assessment in “My Account.”
  • If you pass the assessment you’ll be awarded the Visual Interpreter Badge.
  • No retakes are included with this purchase. Never fear though! If you do not pass the assessment, you’ll receive a promo code for $25 off our Level 1 on-demand course: Learning to See Data. on-demand courses. You’ll be able to brush up your data literacy knowledge and have another shot at earning the Visual Interpreter Badge.

Tools Used: Access the assessment on a Mac or PC. No familiarity with specific data analytics software tools necessary.