This course is intended for the graduate student who is interested in developing a portfolio of skills in business analytics. Class discussions will be based on case situations and on articles from business and technical publications. The class will include substantial hands-on work in data collection, analysis, and interpretation.
Course Learning Objectives
The course learning objectives include:
- Data collection: using tools to collect and organize data (e.g., Google Analytics)
- Data analysis: identify patterns in the data via visualization, statistical analysis, and data mining
- Strategy and decisions: develop alternative strategies based on the data
- Implementation: develop a plan of action to implement the business decisions
Technical Skill Development
Students will gain advanced hands-on experience with a number of analytical tools including advanced Microsoft Excel, Microsoft Access, Google Analytics, R Programming and Tableau data visualization. Specific Excel topics covered include data manipulation, regression, financial modeling, dashboards and sensitivity analysis.
I have designed this program for a very diverse population. If you have a degree in computer science our coursework will reinforce what you are doing. If you come in with a softer background you can pursue a curriculum that focuses on more business concepts such as finance or accounting. We look for students who we are confident they will be able to handle the coursework.