Drexel LeBow’s Business Analytics programs provide a curriculum that covers the entire lifecycle of data analysis. Drexel’s national leadership in experiential learning shapes the curriculum with a focus on the program’s three pillars: statistics, data management, and business modeling.
LeBow is uniquely positioned to address descriptive, diagnostic, predictive, prescriptive and pre-emptive questions across the business analytics lifecycle, from the corporate generation of data through the application and impact on managerial and leadership decision-making and innovation.
What is Business Analytics?
Identifying the business question through:
- Hypothesis testing
Developing a solution with modeling techniques from:
- Decision sciences
- Finance and economics
- Behavioral sciences
Using various types of data such as:
- Structured (numerical, text)
- Unstructured (visual, audio, social)
Analyzing data with:
- Quantitative techniques (statistical)
- Qualitative techniques (ethnographic)
Deriving value in terms of:
Events, Seminars and Dissertations
A hands-on workshop for beginners who want to learn the R language and the foundation for other R functionality, instructed by Elea McDonnell Feit, PhD.
A hands-on workshop introducing various visualization concepts used for data analysis and decision making, instructed by Orakue B. Arinze, PhD.