Full program description
*Courses run Monday - Sunday beginning January 10, 2022.
This certificate can be applied to either the online Master of Science in Information Systems Management program, or the online Master of Science in Business Analytics program offered by W. P. Carey School of Business.
Individuals who earn this certificate and are admitted to the MS-ISM or MS-BA will receive 9 credit hours that count towards the 30 credit hours required to complete each degree.
Enhance your skills for in-demand careers:
This credential includes three courses:
- Business Data Visualization. This course applies advanced data visualization techniques to make sense of large data sets including temporal, geospatial, topical and business data while also making it easier to digest, present and utilize for business needs and users.
- Business Data Mining. This course focuses on charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.
- Big Data Analytics. This course 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.
Upon completion of the Professional Credential in Data Analytics students will gain advanced data visualization techniques, python programming, data mining and how data science can drive business decisions.
Who this certificate is designed for:
Students who wish to stay current with emerging trends while continuing to work, or those looking to build new skills on which to establish a new career path.
What you will earn:
If you complete these courses with a cumulative score of 80% or above, you will receive a Professional Credential in Data Analytics from the W. P. Carey School of Business.
This certificate also counts toward nine hours of course credit if you later enroll in the W. P. Carey Online Master of Science in Information Systems Management program or the Online Master of Science in Business Analytics. You will have the opportunity to convert the course for credit once you complete the course.
- CPE-CIS 541 - Business Data Visualization: January 10, 2022 - February 13, 2022
- CPE-CIS 508 - Business Data Mining: February 21, 2022 - March 27, 2022
- CPE-CIS 591 - Big Data Analytics: April 4, 2022 - May 8, 2022
Unfortunately, federal financial aid is not available for certificate or professional development programs.
Meet the instructors
Tamuchin McCreless, Clinical Assistant Professor of Information Systems
Tamuchin McCreless is a clinical assistant professor in the Department of Information Systems in the W.P. Carey School of Business for ASU. He joined ASU as a faculty member in 2018 and also received his Ph.D. from ASU in 2012. He has spent a decade working in the healthcare industry as an analyst and consultant. Tam has published research in the Communications of the Association for Information Systems and in several conferences, and has contributed to medical studies in diabetes which rely on the use of historical patient data.
Sang-Pil Han, Associate Professor of Information Systems
Sang-Pil Han is an associate professor of Information Systems in the W. P. Carey School of Business at the Arizona State University. His research focuses on mobile apps, mobile advertising, and mobile platforms. In his research, he uses econometric analyses, machine learning, structural modeling and randomized field experiments. His papers were published in top-tier journals such as Management Science, Management Information Systems Quarterly, and Information Systems Research.
Xiqing Sha, Clinical Assistant Professor of Information Systems
Xiqing Sha is a clinical assistant professor in Information Systems with the W. P. Carey School of Business at ASU. Her research interests focus on social networks in entrepreneurial teams and online healthcare community. Her research in social networks and healthcare has been published at peer-reviewed journals such as the Journal of the Association for Information Science and Technology, Information, Technology & People, etc. After joining ASU, she focuses on teaching data analytics courses using popular tools such as Python and R. She has actively contributed to the redevelopment of several business data analytics courses.
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.