What You Will Learn
Data analytics involves learning both the techniques of data analysis and the context in which the data are generated. We use statistics, statistical modeling, data visualization, computer science to massage data and reveal knowledge. Moreover we use economics, biology, sports science, and environment science to provide a context for interpreting the results.
You will learn to:
- Build models to discover relationships between data and questions.
- Analyze models to distinguish between causal agents and spurious correlations.
- Visualize data to discover hidden patterns and communicate these patterns to others.
- Massage and manipulate data into a form useful for analysis.
- Harness computers to find structures hidden in vast databases.
Beyond the classroom:
Data are best understood within a context. We use data collected by regional researchers, governmental agencies, and land management agencies to both illustrate the techniques and to give valuable insights to our collaborators. There are numerous opportunities for internships and collaborations with regional data consumers.
Data analytics is one of the fastest growing professions in the country. The bureau of labor statistics lists quantitative professions as growing "Much faster than average" and Forbes says "The growth rate in marketing-related analytics hires is what’s eye-popping – up 67% over the past year, and 136% over the past three years." There will be a role for data analytics in nearly every career on may choose so one can work in any field he or she chooses and expect to carve out a valuable career drawing insights from data.