6 days (over 6 weeks) 
Private 
Certificate of Attendance Designed for professionals across business, marketing, product, and early-career analytics roles, this course is ideal for anyone responsible for using data to make decisions - regardless of the tools they use.
Through practical examples and guided exercises, learners will develop a structured, tool-agnostic approach to measurement, collection, analysis, reporting, optimisation and data governance.
By the end of the program, participants will have the mindset, vocabulary, and frameworks to confidently approach data questions, assess data quality, uncover insights, and communicate recommendations with clarity.
This Data Analytics Bootcamp 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 course is designed for early-career analysts, digital marketers or business stakeholders responsible for using data in planning, reporting, or decision-making.
It’s also suitable for team leads and project managers seeking to bridge the gap between data teams and the business.
What you'll learn:
By the end of this course, you will be able to:
- Build measurement plans aligned with business goals and KPIs
- Understand how data is collected and structured along with associated ethical considerations
- Apply analytical thinking and extract insights from data including techniques such as user segmentation and conversion attribution
- Translate analysis into clear visualisations and learn
- Communicate insights clearly and impactfully through data visualisation techniques and build supporting narratives
- Understand and apply the principles of data governance to develop an actionable governance strategy
Course agenda
- Understanding business needs define measurement strategies
- What is data analytics? Overview of types and lifecycle
- Discovery: Understanding business context and user goals
- Audit: Assessing current data maturity and gaps
- Measurement Plan: Defining KPIs, metrics, and success criteria
- Analytics Roadmap: Prioritising analytics efforts
- Learn how data is captured and structured ethically.
- Implementation: Methods of collecting data (qualitative, quantitative, digital, manual)
- Configuration: Conceptual set-up of analytics environments (e.g., segmentation logic, filters)
- Campaign Tagging: Introduction to tracking user behavior and interactions
- Data formats, structure, and storage
- Data Ethics and Privacy
- Practice analytical thinking and extracting insights from data
- Segmentation: Understanding audience/user/customer breakdowns
- Attribution: Conceptual intro to source tracking and contribution modeling
- Ad Hoc and Custom Reporting: How to answer non-standard business questions
- Introduction to basic statistics and hypothesis testing
- Hands-on data exploration exercises
- Learn how to communicate insights clearly and impactfully with appropriate visualisations
- Data Visualisation: Chart types, design best practices, cognitive effectiveness
- Bias and interpretation in reporting
- Insight Generation: Going beyond the "what" to "why" and "so what?"
- Making Recommendations: Writing and presenting action-oriented takeaways
- Learn how to act on data insights to improve performance
- A/B Testing: Conceptual intro, test design, and reading results
- Site Optimisation: Iterative improvement strategies based on data
- Campaign Targeting: Using insights to drive segmentation-based interventions
- Quasi-experimental statistical techniques
- Understand the importance of analytics governance & how to develop a governance strategy
- Data Strategy and Best Practice: Sustaining analytics capabilities over time
- Tools: Overview of analytics ecosystem
- Documentation: Importance of processes and data dictionaries
- Access Controls and Security: Data security, compliance, and role-based access
Next Steps:
To continue your learning after this session, we recommend the following courses: