Data & Insights For Business Decisions Programme Overview
This programme equips employees with the technical and analytical skills needed to turn data into actionable insights, while also building communication confidence through storytelling and presenting findings. It is part of our Data Academy Programmes.
Key Skills Gained:
Excel
PowerBI
Tableau
Data analysis
Visualisation and reporting
Automation processes
Data-driven decision making
Business Outcomes:
Enhanced decision-making: Empower your team to make data-led decisions with confidence.
Improved efficiency: Teams learn how to optimise processes using data, boosting overall organisational productivity.
Accelerated growth: Equip your workforce to spearhead data-driven strategies, driving sustainable business growth.
Apprenticeship Qualification Achieved: Level 3 Data Technician
Duration: 13 month delivery, plus 1 month assessment
Software Requirements: Data & Insights for Business Decisions Software Requirements
Data & Insights For Business Decisions Indicative Curriculum Breakdown
Draw insights from data
Month 1: Business and data
Foundational spreadsheet skills
Graph and visualisation types
The data lifecycle
Exploring BI dashboards
Month 2: High-impact problem solving
Common data tools and languages
Data types and data formats
Identifying high-impact data problems, centering the customer/end user
Creating visualisations and dashboards in a BI tool
Month 3: Data quality
Data quality standards & common sources of data quality issues
Data cleaning fundamentals
Data cleaning vs normalising
Cleaning and normalising data in a spreadsheet
Month 4: Using and manipulating data
Data analysis steps
Advanced spreadsheet skills
Advanced dashboard skills
Integrating data in a BI tool
Trend types
Best practices for contextualising and interpreting trends
Impactful data applications
Month 5: Data analytics hackathon
Apply skills learned thus far in a competitive, team-based hackathon
Month 6: Measuring and improving impact
Calculating ROI for data projects
Strategies for communicating impact
Pilot projects
Technical documentation
Continuous improvement process
Month 7: Automation
Algorithms for automation (decision trees)
Automating in a spreadsheet tool
Advanced visualisation skills for BI tool
Sharing dashboards and data security
Automated data preparation for BI tool
Month 8: Data visualisation
Fit-for-purpose visualisations
Interactive and dynamic BI visualisations
Building and formatting BI dashboards
Communicating insights with UX design principles
Accessible design best practices
Build a data-driven organisation
Month 9: Data-driven storytelling and decision making
Data-driven decision-making
Stakeholder analysis
Data formats and implications for data analysis
Identifying and mitigating bias in data analysis
Stakeholder-driven presentation techniques and data storytelling best practices
Month 10: Change agent incubator and EPA readiness session
Becoming a change agent
Spheres of influence
Ripple effect
Four building blocks of change
Knowledge sharing
Month 11: Change management masterclass
Types, scopes, and depths of change
Influencing behaviour: ability and motivation
The six sources of influence
Empathy mapping
Adapting approaches for inclusivity
Persuasive communication
Month 12: Staying relevant
Big data
Machine learning
Generative AI
Elective topic (SQL, Python, blockchain, or NLP)
Professional development
Month 13: End point assessment (EPA) preparation
Working session to learn more about the EPA, practice for interviews, and work on evidence.
Note: This is an example curriculum, and specific details may vary per cohort.
Data & Insights For Business Decisions Indicative Delivery Model
Monthly delivery model, approx. 26 hours per month total commitment. The exact time commitment will be outlined in the training plan that apprentices will receive at the start of their apprenticeship.
Structured Learning (~35% - 9 hours/month):
Live group learning (3 hours): Instructor-led, small-group interactive learning that dives deeper and reinforces the asynchronous content.
Asynchronous learning (4 hours): Online, self-paced content that sets the foundation of skills for the module.
Coach and peer support (1-2 hours): Includes tutoring, progress reviews, and other individual/group/peer support.
Working in Existing Role (~65% - 17 hours/month):
Tasks & applied learning (17 hours): Structured and unstructured application of learning to apprentices’ roles.