Playfair+ Badges
Digital Visual Analytics Credentials
Earn digital credentials at Playfair+ to prove your proficiency with visual analytics and your ability to translate data into insight.
Core and Premium Playfair+ members can take any of our instructor-created exams to help you or your organization evaluate your proficiency across visual analytics strategy, data preparation, design, and engineering. When you pass an exam with a score of 80% or better, you will be issued a digital Accredible badge to share on your resume or LinkedIn profile.
Strategy Fundamentals
Earners of the Visual Analytics Strategy Fundamentals credential have shown proficiency in understanding why we visualize data, the history of data visualization, and how to create key chart types, among other skills. Making William Playfair – the inventor of data visualization – proud, they know that spreadsheets just won’t cut it in today’s business environment.
Earning Criteria
✅ Pass the Visual Analytics Strategy Fundamentals Exam with a score of 80% or better
Data Prep Fundamentals
Earners of the Visual Analytics Data Prep Fundamentals credential have shown proficiency in using leading business intelligence software programs / languages such as Alteryx, Tableau Prep Builder, Power Query, and/or SQL to prepare data for analysis. They have a firm grasp on tool-agnostic approaches to connect, consolidate, shape, automate, and quality check critical data sources.
Earning Criteria
✅ Pass the Visual Analytics Data Prep Fundamentals Exam with a score of 80% or better
Design & UX Fundamentals
Earners of the Visual Analytics Design Fundamentals credential have shown proficiency in applying principles and elements of design within analytics, have been equipped with user experience research techniques, and have demonstrated an ability to incorporate interface design with leading visual analytics and design software. They understand how to leverage Gestalt principles of visual perception to create intuitive data visualizations that effectively communicate patterns and relationships. They recognize that leveraging design and user experience principles within a data practice adds immeasurable value when you consider you are dramatically increasing the likelihood of decision makers taking action.
Skills
Earning Criteria
✅ Pass the Visual Analytics Design Fundamentals Exam with a score of 80% or better
Engineering Fundamentals
Earners of the Visual Analytics Engineering Fundamentals credential have shown proficiency in using leading business intelligence software programs such as Tableau, Power BI, and/or Oracle Analytics to translate raw data into valuable insight. They have a firm grasp on tool-agnostic approaches to connecting to data, filtering data to find relevant insights, creating custom calculated aggregations, and engineering some of the most-effective chart types, among other engineering skills.
Earning Criteria
✅ Pass the Visual Analytics Engineering Fundamentals Exam with a score of 80% or better
Visual Analytics Practitioner
Earners of the Visual Analytics Practitioner credential have shown proficiency in leveraging preattentive attributes to translate raw data into valuable insights. Making William Playfair – the inventor of data visualization – proud, they know that spreadsheets just won’t cut it in today’s business environment.
Earning Criteria
✅ Pass the Visual Analytics Practitioner Exam with a score of 80% or better
Advanced Analytics Practitioner
Earners of the Advanced Analytics Practitioner credential have shown proficiency in combining advanced methods of statistical analysis with visual interfaces. These business scientists are providing a competitive advantage to their organizations by helping facilitate a deep understanding of large amounts of data.
Skills
Earning Criteria
✅ Pass the Advanced Analytics Practitioner Exam with a score of 80% or better
Data Engineering Practitioner
Earners of the Data Engineering Practitioner credential have proven their proficiency in the cleaning and engineering of raw data. These data professionals are on their way to ridding the world of messy, raw data by translating it into valuable insight.
Earning Criteria
✅ Pass the Data Engineering Practitioner Exam with a score of 80% or better