Data literacy is a capability to read, use and analyse data to produce information that can be acted upon. Every organisation creates and stores data but not everyone has the skills and confidence to work with it.

This course is designed for anyone who is not a data specialist but has a need to work with data in their role.

In this course you’ll gain an understanding of the role data can play, data structures, data quality and how you can use data to produce analysis to turn data into information and create a data story.

Examples, demonstrations and exercises may use a selection of common applications including Microsoft Excel and Google Sheets.

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  • Understand how to write formulas using standard functions
  • Experience of creating or using charts and graphs
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Delegates will learn how to

At the end of this course, you’ll be able to:

  • Identify data types and structures
  • Work with data quality challenges
  • Apply a structured approach to work with data
  • Create a testable hypothesis
  • Use fundamental analytics and statistical approaches
  • Select appropriate visuals
  • Build an effective data story
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Module 1: Data Literacy and its Role

  • Data is Everywhere
  • Data-driven Culture
  • Creating Value from Data

Module 2: Data Management

  • Enterprise Data Management
  • Data Governance and Ethics
  • Data Collection

Module 3: Data Quality Management

  • Identifying Data Quality Issues
  • Data Quality Metrics
  • Common Data Challenges
    • Incomplete Datasets
    • Duplication
    • Data Type and Formatting Issues

Module 4: Data Structures and Data Traits

  • Data Types
  • Tidy Data
  • Quantitative and Qualitative Data
  • Data Scales
  • Data Models
    • Facts and Dimensions
    • Relationships and Joins

Module 5: Data Analysis Process, Terms and Concepts

  • Data Analytics Lifecycle
  • Business Problems and Hypothesis
    • A structured approach
    • Stakeholders’ Perspective
    • Creating a Hypothesis
    • Determining the Data You Need
    • Defining Success
  • Types of Analytics
  • Different types of Average
  • Beyond averages
    • Distribution and Deviation
    • Percentile, Quartiles and Rank

Module 6: Data Analysis and Testing

  • Regression Analysis
  • Correlation and Causation
  • Testing your Hypothesis
    • A/B, Control and Multivariate
  • Preparing to tell the Data Story

Module 7: Visuals and Charts

  • Chart Types
  • Visualisation and Statistics
  • Matching the Visual to the Data
  • Drawing attention to Key Insights
  • Focussing on the Difference

Module 8: Storytelling with Data

  • What is data storytelling?
  • Three key questions
  • Context and Empathy
  • A Data Story in Three Acts
  • Defining Success Criteria
  • Dashboards – Types and Design Considerations

Module 9: Data Literacy Socialisation and Communication

  • Data-Led Change
  • Feedback Loops

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Why choose QA

Special Notices

For customers attending remotely via Virtual Classroom or ‘Attend From Anywhere’, an additional screen is required for this course to work through remote desktop labs and view training information.

Dates & Locations

Data for Business Users learning paths

= Required
= Certification
Microsoft Excel
Google Sheets
Microsoft Power BI
Microsoft Access
Need to know

Frequently asked questions

How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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