--- schema_version: "1" id: db69ddd7b310661676fca6998eb050924c324307753cdfb8562a231edac1b93a title: Data literacy collection: tableau version: current locale: en-gb portal_url: https://docs.salesforce.com/tableau/current/en-gb/blueprint/bp_data_literacy.md canonical_url: https://help.tableau.com/current/blueprint/en-gb/bp_data_literacy.htm source_site: help.tableau.com content_type: documentation content_hash: e031e037f577f370861a736856501657f36c60fde924cbcd7d189d2a9ece467c description: Blueprint guidance on building data literacy so people can read, work with, and communicate with data. --- [Skip to main content](#main-content) # Data literacy > [!TIP] > > This content is part of Tableau Blueprint – a maturity framework allowing you to zoom in and improve how your organisation uses data to drive impact. To begin your journey, take our [assessment](https://www.tableau.com/en-gb/learn/webinars/tableaus-blueprint-self-assessment). Every day, your people use data to make better decisions in their personal lives – from what route to take, to monitoring exercise and managing finances. Think about that: Almost everyone uses some kind of data-driven tool to measure their progress or modify behaviours for improved outcomes. So why should it be any different at work, especially when the amount of data collected has never been greater? To become a more data-driven organisation, you’ll quickly realise that it requires more than deploying software and considering the work complete. Even with the right data and analytics technology, it’s not easy to make data-driven decision making a default behaviour for everyone across your organisation. The fundamental skill people need is data literacy, defined as the ability to explore, understand and communicate with data. By prioritising data literacy as the baseline, you can empower your people with the new language of business, just as humans have used symbols, words and language throughout history. Data literacy isn’t only a skill for data scientists and analysts; it should be viewed as the prerequisite for additional skills which are developed on the path to proficiency. Everyone, regardless of their position or department, must know and embrace the language of data to help their organisation tackle its difficult problems (e.g. new or developing market trends, customer activity and needs, or unexpected crises). This means putting tools and processes in place that people will actually use, teaching them new skills, encouraging new behaviours and continuous learning, and recognising when there are data-related wins. Your users will be vast and varied in their data skills, as well as the skills that need to be developed. To assist your organisation with establishing data literacy as a fundamental skill, [Tableau’s Data Literacy for All free eLearning](https://www.tableau.com/en-gb/learn/data-literacy) offers five hours of practical training and resources to help everyone. The following topics are covered within seven on-demand eLearning modules: - Foundational data literacy concepts - Recognising well-structured data - Exploring variables and field types - Exploring aggregation and granularity - Understanding distributions - Understanding variation for wise comparisons - Using correlation and regression to examine relationships While modules can be completed in any order, employers should ensure completion of all modules by manually collecting the certificate of completion. Employees can access their certificate of completion as a PDF, download it immediately after finishing the seventh module and provide it to their employer. Organisations may also consider holding competitive team or individual challenges to encourage engagement and training completion as they collect certificates. For organisations with varied data skill levels, this is a simple, easy way to also test basic data literacy, so you have a baseline to build from. Having and developing a community will also go a long way in nurturing a more data-literate workforce. Community spaces like a regular user group or an internal discussion forum offer your employees a place where they can explore and communicate with data using real-world scenarios or company-specific data challenges. In these venues, it’s easier to practice these evolving skills, and identify knowledge gaps or cultural behaviours that may hinder individual or collective progress – obstacles that aren’t always captured when people just complete a training. After your users have established the baseline skills by completing [Tableau’s Data Literacy for All free eLearning](https://www.tableau.com/en-gb/learn/data-literacy), continue to promote educational development with the prescriptive Tableau learning paths. For more information, see [Skills by Tableau education role](https://help.tableau.com/current/blueprint/en-gb/bp_skills_tableau_education_role.htm). For smaller deployments, see [Skills by Tableau licence type](https://help.tableau.com/current/blueprint/en-gb/bp_skills_tableau_license_type.htm).