Ai in Data and HR analytics
Less manual reporting. More insight you can stand behind.
Brands need more content than they can produce. This track teaches you to make video, image and voice work at scale with AI and to run it as a content agency.
8 weeksLive online learningPractical portfolio projects
Toolkit
Tools and technologies you will learn to use
ExcelPower BISQLMicrosoft FabricJulius AIQuadratic AIBricks AIGoogle AI Studion8n
Combine established analytics tools with AI-assisted analysis and reporting. Use Google AI Studio to prototype applications and n8n to connect tasks within data and reporting workflows.
Curriculum
Eight weekends, module by module
Week 01
Data foundations
Sources, structures and what good data looks like.
Week 02
Collection and cleaning
Get messy data into a usable shape.
Week 03
Analysis with AI
Ask better questions and check the answers.
Week 04
Visualisation
Charts that make a decision obvious.
Week 05
Dashboards
Build dashboards people actually open.
Week 06
HR analytics
Headcount, attrition, hiring and performance data.
Week 07
Insight to decision
Turn findings into recommendations.
Week 08
Capstone
A full analytics project with dashboard and write-up.
Why this pathway
Why this pathway
If spreadsheets and recurring reports dominate your day, this pathway helps you develop a more structured approach. Build analytical foundations and learn to use AI to support your work, while keeping responsibility for the accuracy and interpretation of your findings.
For HR professionals, the Data and HR Analytics programme connects these skills to workforce data and people-related business questions.
Work you can build
Practise turning an inconsistent dataset into a management dashboard, preparing a concise analytical report or connecting data tasks into a reporting workflow. In the Data and HR Analytics programme, apply these skills to workforce questions and HR reporting. These are example applications; confirmed projects appear in the curriculum.
Skills
What you will learn
Data preparation, cleaning and structured analysis.
SQL querying and working with business data.
Dashboard development and analytical reporting.
Working with Microsoft Fabric as part of the analytics toolkit.
AI-assisted analysis using Julius AI, Quadratic AI and Bricks AI.
Application prototyping with Google AI Studio and workflow automation with n8n.
Validation, interpretation and communication of findings.
Also available
Other programmes
Build analytical skills you can apply to business and workforce data, and evidence you can take into your next opportunity.
Join 18,000+ students who have already taken the first step towards a data-driven career.
Enroll now