This one-day course introduces the foundational principles of data analytics, focusing on understanding the analytics lifecycle, types of data, and how insights are generated to support better business decisions.
During the session, you’ll gain a general overview of the analytics framework. We’ll focus on teaching you how to think like a data analyst, and what it takes to interpret results confidently; all without getting lost in tools or jargon.
By the end of the course, you'll have a solid understanding of data analytics principles that you can immediately apply to drive better decision-making within your team and organisation.
Our Introduction to Data Analytics course is available as a scheduled session at our training centre in The Shard, London, or via Virtual Classroom. We also offer it as a private course, delivered virtually, at your offices, ours, or any location that works best for you, whether in the UK or internationally.
Course overview
Who should attend:
This course is perfect for business professionals, managers, aspiring analysts, and anyone looking to build a strong foundation in data analytics fundamentals.
What you'll learn:
By the end of this course, you will be able to:
- Understand the importance and impact of data analytics in modern organisations
- Provide an overview of the analytics framework
- Understand how Discovery and Measurement Planning fall in line with Business Objectives
- Consider common data types, sources, and quality considerations
- Analyse data: segmentation, attribution, and reporting essentials
- Utilise a basic understanding of data visualisation and storytelling for optimal decision-making
- Understand ethical considerations and data governance at a high level
Course agenda
- What is analytics?
- Value of Analytics
- Understand the analytics process
- Where analytics fits in business processes
- Types of data
- Where your data comes from
- KPIs vs Metrics
- Setting S.M.A.R.T. Goals
- Measurement Planning
- Tagging for Web & App
- What is Data Analysis?
- Turning Raw Data into Meaning
- Segmentation: Grouping for Clarity
- Attribution: Understanding Cause & Effect
- Ad-hoc Analysis
- Choosing Effective Charts
- Dashboards vs Reports
- Data Storytelling: Building a narrative with data
- Considering your Audience
- Data Privacy, Consent & Compliance
- Governance considerations
- Roadmapping analytics improvements
- Maturity models
- Choosing the right tools
Next Steps:
To continue your Analytics journey after taking this course, we recommend our Introduction to Google Analytics 4 Reporting, Adobe Analytics, and Looker Studio (formerly Data Studio) courses.