Analytical questions and data quality
Define decision questions, measures, grain, ownership and quality expectations.
Mai Studies Original ยท Data & Analytics
An eight-week professional programme covering data quality, SQL, Python, statistics, visualisation, dashboard design, governance and analytical communication. Learners build a portfolio-ready intelligence product from an original business case.
Included with Mai Studies membership at no extra cost. Fee waivers are available through scholarships and open access.

Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
Define decision questions, measures, grain, ownership and quality expectations.
Build controlled calculations and translate tabular work into relational structures.
Query, join, aggregate and validate relational data without losing business meaning.
Create reproducible cleaning, exploration and transformation workflows.
Use uncertainty, sampling and practical significance to challenge conclusions.
Choose honest visual encodings and construct a clear evidence-led narrative.
Design useful metrics, semantic definitions, refresh controls and accessible dashboards.
Deliver a governed intelligence product and executive recommendation.