Data Literacy Level 1 On-Demand Course v2.0

$175.00

Data Literacy Level 1: Learning to See Data is crafted to equip you with a fundamental understanding of how to interpret a variety of chart types and their nuances. Throughout the course’s 8 lessons, you’ll learn how the human brain processes visual data and delve into essential chart types such as bar charts, pie charts, histograms, scatter plots, and more. Each lesson thoroughly explores the building blocks, effective use cases, common pitfalls, and possible variations of each chart type, empowering you to analyze data visualizations confidently and make well-informed decisions.

Additional Options:

  • Team Pricing: Tailored plans are available for teams and organizations. Inquire here for more information.
  • Gift This Course: Consider gifting this educational experience to someone looking to enhance their data skills. Purchase as a gift.
  • Start with Fundamentals: For those new to the field, pairing this course with Data Literacy Fundamentals is recommended for a comprehensive foundation in data literacy.
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Description

Data Literacy Level 1 was created by Ben Jones, CEO of Data Literacy and Professor of Data Visualization Theory at the University of Washington’s Foster School of Business, along with Alli Torban, renowned information designer and host of the ‘Data Viz Today‘ podcast. This course is on-demand and self-paced. Progress through the modules on your own and at your own pace.

What’s included? 

  • A digital copy of Learning to See Data by best-selling data author Ben Jones
  • A digital copy of the 16 Chart Reading Tips Checklist
  • Perpetual access to the Data Literacy Level 1 on-demand offering:
    • 8 course lessons
    • 8 instructional videos between 8 & 12 minutes in length
    • A total of 1 hour 28 minutes of instructional videos
    • Pre and post-course knowledge checks
    • 8 lesson quizzes with a total of 80 questions
    • Certificate of Completion
    • Visual Interpreter Badge, which can be showcased on your LinkedIn profile.
  • Links to helpful resources for further learning

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