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Enterprise Data Science in Practice

Enterprise Data Science in Practice - ITS 230 & ITS 333

ITS 230: An introduction to network security, compliance, operation security, threats, vulnerabilities, application security, and host security. Other topics that will be discussed include access control, identity management, and cryptography. Credit 3 hours. Offered Spring Semesters.

ITS 333: An introduction to design, implementation, and troubleshooting of data center components. Topics covered will include network diagrams and topologies, virtual LANs, layer 2 switching, IPv4, IPv6, and routing protocols. Credit 3 hours. Prerequisite ITSI 332. Offered Spring Semesters.

Students who complete this certification can expect to learn how to: 

  • Demonstrate skills & understanding of the Data Science methodology by engaging in real-wold scenarios & role-playing the process/tools used by a data science team to address real-world enterprise challenges in the insurance industry leveraging cutting-edge fraud analytics approaches & technologies.

About IBM Skills Academy: 
University of the Cumberlands has partnered with IBM Global University, giving students added opportunities to hone their technological talents, learn about tech advancements through high-quality curricula, and perform research to sharpen their skills. Through their coursework, students earn IBM Digital Badges in workforce-relevant IT areas. The badges automatically generate a digital résumé with verified achievements for students and are embedded with links to real-time dynamic labor market data and actual job postings. Thanks to their professors’ expertise and the skills and knowledge they glean from IBM resources, Cumberlands students can build their IT résumé step by step, earning valuable workforce achievements along the way.