A score of 84.1 indicates that your data literacy skills are at the expert (or “fluent”) level.
People with fluent data literacy skills are considered data specialists; they leverage a range of analytical tools and techniques as part of their role, and typically hold data-specific job titles like Data Analyst, Data Scientist, Data Engineer, etc.
Data specialists have the skills to think strategically, design and conduct complex analyses, and clearly communicate insights and implications to both technical and non-technical audiences.
Ability to comprehend and make sense of data presented to you in the form of tables, charts, or metrics
Ability to work with raw data to store, clean, transform and prepare it for exploration and analysis
Ability to use analytical tools and techniques to identify patterns and insights in the data
Ability to use visualization and storytelling to create clear, data-driven narratives to help influence decisions
A score of 84.1 indicates that your data literacy skills are at the expert (or “fluent”) level.
People with fluent data literacy skills are considered data specialists; they leverage a range of analytical tools and techniques as part of their role, and typically hold data-specific job titles like Data Analyst, Data Scientist, Data Engineer, etc.
Data specialists have the skills to think strategically, design and conduct complex analyses, and clearly communicate insights and implications to both technical and non-technical audiences.
Ability to comprehend and make sense of data presented to you in the form of tables, charts, or metrics
Ability to work with raw data to store, clean, transform and prepare it for exploration and analysis
Ability to use analytical tools and techniques to identify patterns and insights in the data
Ability to use visualization and storytelling to create clear, data-driven narratives to help influence decisions