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Data Analytics in Business (W 2023)

Fermé
Mercy University
Mercy University
Dobbs Ferry, New York, United States
Naushad Kollikkathara
Assistant Professor
(1)
3
Chronologie
  • décembre 7, 2023
    Début de expérience
  • décembre 7, 2023
    Project Kick Off Meeting
  • février 11, 2024
    Fin de expérience
Expérience
2/1 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Tout type de entreprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Bases Analyse des données Data science
Compétences
predictive modeling online communication data analysis research
Objectifs et capacités de apprenant.es

Looking to elevate your organization, and bring it to the next level? Bring on students from Mercy College to be your student-consultants, in a project-based experience. Students will work on one main project over the course of a term, connecting with you as needed with virtual communication tools.

Students in this program focus on the collection of, and analysis of, data. They learn how to objectively manipulate data into useable data sets, including visual data analytics to help make data backed decisions for more thorough analysis, and use predictive modelling to ascertain future patterns and trends.

Apprenant.es

Apprenant.es
Finissant
Tout niveau
3 apprenant.es dans le programme
Projet
30 heures par apprenant.e
Les apprenant.es s'auto-attribuent
Projets individuels
Jusqu'à 2 équipe(s) par projet.
Résultats et livrables attendus

Deliverables are negotiable, and will seek to align the needs of the students and the organization.

Some final project deliverables might include:

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations
Chronologie du projet
  • décembre 7, 2023
    Début de expérience
  • décembre 7, 2023
    Project Kick Off Meeting
  • février 11, 2024
    Fin de expérience

Exemples de projets

Exigances

Students in groups of 2-3 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.

Project activities that students can complete may include, but are not limited to:

  • Effective data collection
  • Collecting and cleaning data from multiple sources
  • Data manipulation and analysis
  • Storytelling and presenting with the data analyzed
  • Decisions that can be made based on the data and predictive modelling

Critères supplé mentaires pour entreprise

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

  • question 1

    Provide relevant information/data as needed for the project.

  • question 2

    How is your project relevant to the course?

  • question 3

    Be available for a quick phone/virtual call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.

  • question 4

    Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address students’ questions as well as periodic messages over the duration of the project.

  • question 5

    Provide an opportunity for students to present their work and receive feedback.

    •