Data Literacy

Want to make smarter decisions with data? Start your journey to data literacy and unlock the power of data-driven insights in this one-day course.

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1 day course
Private
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.
Certificate of Attendance

Everybody works with data, whether they know it or not. Build your confidence in reading, preparing, interpreting and communicating the data you encounter in your workplace with this foundational data literacy course.

Our analytics experts will walk you through everything you need to know to begin working with data, teaching you the different types; structured and unstructured, continuous and categorical - and how they can be analysed and visualised with hands-on exercises to solidify your knowledge.

By the end of the day you’ll have the skills to convert raw data into insights and actions, as well as the tools needed to champion a broader culture of data driven decisionmaking at your workplace.

This Data Literacy course is available as a private session that can be delivered via Virtual Classroom, at our training centre in The Shard, London, or at a location of your choice across the UK.

Course overview

Who should attend:

This beginner-friendly course is intended for anyone and everyone curious about data; how they can work with it, and what it can do for them in turn. If you’re beginning to utilise data in your role, or need to communicate with those who do, this is an excellent place to start. Minimal technical knowledge is required - just come with an open mind!

What you'll learn:

By the end of this course, you will be able to:

  • Identify different types of data
  • Ask the right questions to get the data you need
  • Convert raw data into meaningful and actionable insights
  • Advocate for data literacy and data-driven decision-making practices in your workplace

Course agenda

What is Data?
  • The importance of data literacy
  • Gut-feeling versus data-driven decisionmaking
  • Data types and structures
Data Prep
  • Data collection and sources
  • Basic data transformations: aggregations and distributions
  • Cleaning data
Data Analysis
  • Descriptive and diagnostic analytics
  • Predictive and prescriptive analytics
  • Generating insights
Data Communication
  • Selecting an appropriate visualisation
  • Actioning your insights
  • Fostering a culture of data literacy
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