Recent learner feedback from 2025-2026

Real stories from completed learner cohorts

Hear from Brit Institute learners who built practical data, AI, and analytics projects with mentor feedback and career-focused support.

4 cohortsrecent completion months
20 noteswritten learner feedback
Video storiesfrom recent programme learners

Learner feedback

Browse reviews by completion month

Each cohort section brings together a learner video, project outcome, and written feedback from classmates in the same completion period.

Most recent completed cohort

March 2026 Cohort

Moved from reporting support to dashboard ownership
Learner video

Weekly mentor feedback helped me connect analytics concepts to real education problems. The structure kept me moving every week.

AM

Ananya Menon

Educator to Learning Analyst

Every module led to something visible in my portfolio. Python and SQL finally clicked because we kept applying them to real scenarios.

JO

James Okonkwo

Junior Data Scientist

The live sessions were focused and easy to follow. I finished with a dashboard project I can confidently show in interviews.

MI

Meera Iyer

Operations Analyst

The examples felt close to real business work. I now understand how to turn a vague question into a clean analysis plan.

TB

Thomas Bennett

Marketing Data Executive

Winter career transition cohort

January 2026 Cohort

Built a portfolio using Excel, SQL and Power BI
Learner video

The mock interviews were direct and useful. By the end of the batch, I could explain my projects clearly and answer technical questions with confidence.

AB

Amina Begum

AI Automation Specialist

I was working full-time, so the recordings and review checkpoints mattered. I always knew what to complete next.

RP

Ravi Patel

Business Intelligence Analyst

The mentor comments were specific, not generic. That helped me improve my notebooks and explain my choices more professionally.

HC

Hannah Clarke

Junior Data Scientist

The dashboard labs were excellent. I learned how to design reports that are useful for decision-makers, not just visually busy.

OH

Oliver Harris

Power BI Specialist

Autumn AI and data cohort

November 2025 Cohort

Used AI workflows to speed up analysis and documentation
Learner video

The programme helped me move from theory to practice. I finished with dashboards, SQL examples, and a capstone story I can talk through.

SW

Sophie Williams

Career switcher

The feedback was honest and detailed. My final project became much stronger after mentor review, especially around business context.

DM

Daniel Mensah

ML Engineer pathway

I learned how to present insights with more discipline. The weekly tasks helped me build a proper working rhythm.

CW

Charlotte Wilson

Junior Analyst

The AI workflow modules were practical. I now use prompts, checks, and documentation templates in a much more controlled way.

JT

Jack Thompson

Software Developer

Project-focused career cohort

September 2025 Cohort

Completed a reviewed capstone project
Learner video

Excel, SQL, and Power BI came together in a way that finally made sense. I left with evidence I could show, not just a certificate.

GE

George Edwards

Business graduate to Data Analyst

The teaching was calm and structured. I liked that every topic was followed by practice and a review of common mistakes.

RH

Rebecca Hollowell

Junior Analyst

I now make decisions with clearer evidence. The course helped me move beyond spreadsheet habits and build better reporting workflows.

AR

Adam Richardson

Operations Manager

The analytics projects were relevant to my work. I improved my SQL, dashboard design, and stakeholder storytelling in one programme.

WF

William Foster

Financial Analyst

Career progress

What learners built during the programme

Recent learners left with practical portfolio evidence, clearer interview stories, and stronger confidence using modern data tools.

Learner path 116 weeks
Starting pointAdmin and reportingManual spreadsheets and ad hoc reports
Portfolio evidenceData analyst readyPower BI dashboard, SQL case study and CV review
Learner path 218 weeks
Starting pointNon-tech graduateLimited coding and project experience
Portfolio evidencePortfolio builtPython notebook, analytics story and interview practice
Learner path 320 weeks
Starting pointOperations roleWanted practical AI skills for daily work
Portfolio evidenceAI workflow capablePrompt library, automation plan and responsible-use notes

Build your own AI and data portfolio

Learn with structured live sessions, practical projects, mentor feedback, and career preparation built around real learner goals.

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