About this badge
Advancements in customer-level marketing databases and data warehousing technology have created a demand for marketing professionals who can extract key customer and marketing insights from mountains of data in an effort to make smart marketing decisions. The data miner, a professional in interpreting important marketing trends for an organization, bridges the gap between analyst and marketing staff. The tools and techniques associated with identifying essential marketing information encompass data consolidation, manipulation, and higher-level statistical processes. In addition to helping marketers answer key questions, those possessing data-mining skills have a powerful advantage in knowing how changes or adjustments recommended by their data revelations impact an organization’s bottom line.
NYU-SCPS has teamed up with SAS, the world’s leading developer of business intelligence analytical software and the market leader in data mining, to create a data mining certificate program designed for marketers, analysts, and information technology professionals who want to acquire this skill set.
Upon completion of this hands-on certificate program, students are able to:
- Read, access, manipulate, and format raw marketing data from any application into SAS
- Leverage volumes of customer data captured in the marketing process
- Navigate the SAS environment
- Query the data, create customer segments, and generate insightful summary reports
- Validate, clean, and prepare data for analysis
- Create graphs and other visual displays
- Merge and concatenate data sets
- Debug programs
- Export data and analytical results directly to Excel or Word
- Apply analytical techniques, including regression, logistic, cluster, factor, and CHAID
- Plan and write simple SAS programs to solve marketing questions
Use SAS to conduct simple text and web mining analysis projects
- Present data for marketing campaigns
Experience with SAS or programming is helpful but not required, and marketing experience is recommended. Students must be computer literate and have some experience using Microsoft Office programs. All sessions are held in a computer lab using Base SAS, SAS/STAT, SAS Enterprise Miner, and SAS Enterprise Guide.
Learn more: http://scps.nyu.edu/ce/badges
