Data Analytics for Today's Socially Networked Business
Enormous economic value waits in the data generated by social media networks. In this two-day course, marketers, data analysts, and IT professionals will examine best practices for the business use of social media, from top-level strategy to tools for data measurement and analysis.
A new course on social media analytics will help professionals from a variety of fields make smarter business decisions. The two-day course arms marketers, data analysts, and IT professionals with best practices for the business use of social media, from top-level strategy to tools for data measurement and analysis.
"This course covers mega-trends in social media and big data," said Carlson School Professor Ravi Bapna, co-creator of the course with Anindya Ghose of NYU's Leonard N. Stern School of Business. "Forward-thinking professionals need to understand these topics to do business in the digital age."
Course Enrollment Open Now
The course is the first to come from the University's Social Media and Business Analytics Collaborative (SOBACO), which Professor Bapna co-directs with Professor Joseph Konstan. SOBACO will offer the course through Executive Education at the Carlson School of Management. Enrollment is open to professionals throughout the Twin Cities and beyond.
Few doubt the on-going impact of social media and big data on business. In order to adapt, businesses need professionals who can tap into the business intelligence and economic value held in social media and associated data. According to Bapna, "There's tremendous demand for these skills, and a shortage of qualified people. This course is designed to help information professionals get up to speed quickly, and start building their data knowledge."
The course covers a range of topics related to social platforms, data analytics, and mobile. In particular, how these technologies require organizations to rethink everything from product design to marketing, and customer service to IT infrastructure.
Social Media and Data Analytics for Digital Marketing
February 7-8, 2013
Course information and registration