Study advanced analytics topics intersecting the fields of data mining, machine learning, and “big-data” with an emphasis on how analytics is used in various industries. Complete a hands-on project designed to impart practical analytics experience and a large project around analytics methodologies. Execute a large project (practicum) in analytics, either research or company-sponsored.
By the end of this course, be able to:
•Analyze the basic theory and algorithms of data analytics and their application to practical problems
Testimonials
"The advanced data analytics practicum course in particular was very useful for students to gain professional experience because it allowed us to partner with companies to work on big data analytic projects involving real data to solve specific business problems. Through this project, our team had the opportunity to work with the data analytics team in Janssen Pharmaceuticals to predict the time, resource and cost of drug development projects. Not only did we gain valuable insights about the drug development process in the pharmaceutical industry, we also got to present our results at the Janssen office in Raritan and met with professional leaders from various departments to share our findings. By learning these valuable data analysis skills, I became capable to accomplish many projects on my own, such as building and managing my own database and website, and leveraging machine learning algorithms to solve big data problems." (May 2019)
Technical Skills
Data analysis
Transferable Skills
- Presentations
- Communication
Experiential Learning
- Presentations
- Practicum
- Option to work with outside corporation