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Data Analytics in Business

ANLC 801
Closed
Mercy University
Mercy University
Dobbs Ferry, New York, United States
Naushad Kollikkathara
Assistant Professor
(1)
3
Timeline
  • November 27, 2023
    Experience start
  • December 7, 2023
    Project Scope Meeting
  • January 11, 2024
    Project Progress Meeting #1
  • February 8, 2024
    Project Final Presentation
  • February 11, 2024
    Experience end
Experience
2/3 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization Data analysis Data modelling
Skills
predictive modeling online communication data analysis research
Learner goals and capabilities

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.

Learners

Learners
Graduate
Any level
3 learners
Project
30 hours per learner
Learners self-assign
Teams of 3
Expected outcomes and deliverables

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
Project timeline
  • November 27, 2023
    Experience start
  • December 7, 2023
    Project Scope Meeting
  • January 11, 2024
    Project Progress Meeting #1
  • February 8, 2024
    Project Final Presentation
  • February 11, 2024
    Experience end

Project Examples

Requirements

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

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

How is your project relevant to the course?

Provide relevant information/data as needed for the project.

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.

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.

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