Data Citizen Objective Data Literacy Assessment

$35.00

A Data Citizen knows what questions to ask of their data upfront. They understand the one overall goal of data and the activities a team must carry out to transform data into wisdom. Growing in data literacy is one of the most strategic development paths we can embark upon. Passing the Data Citizen Assessment proves that you’ve mastered the foundational aspects of data literacy: what is data, how is it used by teams, and what are some different ways of displaying your data? We cover these topics in our Data Literacy Fundamentals on-demand course: Understanding the Power & Value of Data.

If you score 80% or higher, you’ll be awarded the Data Citizen 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 Fundamentals on-demand course: Understanding the Power & Value of 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 Fundamentals, you’ll also have the opportunity to earn your Data Citizen badge. 

Consider purchasing this assessment along with the Visual Interpreter Assessment, which is based on Data Literacy Level 1, the second 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 the “My Account” section of our website.
  • If you pass the assessment you’ll be awarded the Data Citizen 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 Fundamentals on-demand course: Understanding the Power & Value of Data. You’ll be able to brush up your data literacy knowledge and have another shot at earning the Data Citizen Badge.

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