IntermediateBusiness trackCA-CP-39

Retail Demand Forecasting with Bilingual Review Sentiment

Internship role: Business Analytics Co-op. Forecast store demand and enrich it with sentiment from bilingual customer reviews; measured by MAPE versus a seasonal baseline.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Business Analytics Co-op. Forecast store demand and enrich it with sentiment from bilingual customer reviews; measured by MAPE versus a seasonal baseline.

What you submit

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

Stack: Python, Prophet, French/English NLP, Power BI

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

240-hour Canada programme. Canadian retailers operate bilingual markets and co-op analysts are expected to handle both languages' data.

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.