Level UP Data Analysis Projects

Riipen Strategic Projects (1.0)
Ottawa, Ontario, Canada
Level UP Program Team
levelup@riipen.com
(1833)
Expérience
66/60 match de projet
Dates fixées par les projets
Paiement par employeur.euse C$1,400.00
Entreprises privilégiées
N'importe où
Any
N'importe qu'elle industrie

Portée de Expérience

Catégories
Analyse des données
Compétences
data analytics data visualization data science
Objectifs et capacités de apprenant.es

Undergraduate, graduate, continuing education, certificate, diploma, part-time and full-time students are all encouraged to apply.

The Level UP program (powered by Riipen) allows employers to bring on Canadian post-secondary students for 80-hour paid projects. Students are paid a $1400 CAD stipend on completion of the project by Riipen; employers are not required to provide payment. Read more about the program here.

Submit a project here for our Level UP coordinators to review. Once approved, students will apply to your project directly - individually, or in teams. Students may be from any Canadian post-secondary institution, and in any academic program. Get specific in your project description about the skills you're looking for in order to attract the most suitable applicants.

Apprenant.es

Apprenant.es
Premier cycle universitaire
Tout niveau
218 apprenant.es dans le programme
Projet
80 heures par apprenant.e
Les apprenant.es s'inscrivent aux projets
Résultats et livrables attendus

While deliverables will vary depending on the project scope, at the conclusion of the project you should have a completed report or other assets that you can use to further your business goals. Maintaining communication with students throughout the project will lead to better results.

Exemples de projets

Exigances

Projects should be approximately 80 hours in length, though our coordinators can work with you to resize the project as needed.

Suitable projects in the data analysis stream include:

  • Dashboard creation. Students can create dynamic dashboards representing your business KPIs using the software tools you use in-house or free software.
  • Trend analysis. Students will analyze a large data set provided by your company to find patterns, make forecasts, or identify trends depending on your needs.
  • Data cleaning. Students will take your existing data sources and transform them into data that can be used for analysis.

The above list are examples, and you are welcome to propose other projects in the area of data analysis.

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

  • Q - Case à cocher
  • Q - Case à cocher
  • Q - Case à cocher
  • Q - Case à cocher