IntermediateSoftware trackAE-CP-26

Dubai Real Estate Price & Rental Yield Analytics

Internship role: PropTech Data Intern. Analyse transaction and rental indices by community, build a yield map and a price-prediction model; measured by MAPE on held-out months.

10 Guided Steps120h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: PropTech Data Intern. Analyse transaction and rental indices by community, build a yield map and a price-prediction model; measured by MAPE on held-out months.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, Dubai Land Department open transactions, pandas, Plotly

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

120-hour United Arab Emirates programme. The DLD publishes every transaction; brokerages and PropTechs want analysts who can use it.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.