Practical research skills for students, agencies and corporate teams.
MIU conducts live learning sessions that connect research theory to real project execution, software, quality controls and decision-ready outputs.
Sessions built around real research tasks.
Market research foundations
Objectives, design, sampling, qualitative, quantitative, B2B, B2C and academic research.
Survey programming
Logic, quotas, loops, validations, testing, data maps and platform workflows.
Data quality
Fraud signals, cleaning rules, source review, open ends and transparent decisions.
Analytics
SPSS, R, Excel, SAS, crosstabs, significance, charting and interpretation.
Advanced methods
MaxDiff, conjoint, CBC, A/B tests and experimental survey structures.
Reporting
Data storytelling, chart choice, executive summaries and client-ready presentation design.
AI for research
Responsible use for QA, open text, synthesis, coding support and workflow acceleration.
Team execution
Briefing, Gantt planning, roles, supplier coordination, risk and quality governance.
Choose the learning environment.
- Live online sessions.
- Small-group or one-to-one coaching.
- Corporate team workshops.
- Project-based training with real client materials under confidentiality.
- Recorded materials or exercises where agreed.
Scope around the learner and outcome.
- Audience and baseline skill review.
- Learning objectives and duration.
- Examples, exercises and software access.
- Q&A and review.
- Optional follow-up session or project support.
Tell us who is learning and what they need to do.
Share audience size, topic, skill level, software, preferred dates and expected outcome.