Full course description
Big Data Analytics:
Combines hands-on experience with relevant readings to explore the strategies behind big data, AI, analytics, and data science that drive decision making and how such strategies can lead to long term competitive advantage. Emphasizes topics related to analysis of unstructured datasets, such as social media analytics.
At the end of this course, students will be able to:
- Explain how various firms, industries, and organizational functions are deriving value and building competitive advantage using big data, AI, and analytics-based decision making
- Engage in projects related to data science, analytics, and big data concepts and their associated technologies
- Explain how competitive forces and market opportunities are changing with the continued adoption of big data, AI, and analytics
- Understand how analytics can be a key component of both product design and functionality (machine learning and AI)
- Understand and predict future directions in analytics, AI, big data, and associated technologies
- Identify and understand ethical issues in analytics
- Understand the cultural and human resources required to execute strategies that depend on analytics and big data
- Build an “analytics 3.0” strategy for an organization
Unfortunately, federal financial aid is not available for certificate or professional development programs.
Meet the instructor
Victor Benjamin, Assistant Professor of Information Systems
Victor Benjamin is an assistant professor in Information Systems with the W.P. Carey School of Business at ASU. His research background includes work in machine learning, computational linguistics, and cybersecurity. Dr. Benjamin successfully published the first-ever article on cyber-threat intelligence within premier business research literature, and also leads the organization of internationally-recognized cybersecurity research venues. Dr. Benjamin is the co-founder of the ASU Actionable Analytics Lab, where he has developed sponsored research partnerships and data sharing agreements with industry partners such as adidas and Uber.