b'Data Analytics Technology (Jefferson Davis Campus) The Data Analytics Technology option is the science of inspecting raw data with the purpose of drawing assumptions about that information. Data Analytics is used in many industries to allow organizations to make better business decisions. The Data Analytics Technology program will prepare students to work in a data-rich business environment and provide them with the skills to be employable in the field of data analytics or business intelligence. This program of study offers training in the design and manipulation of databases using a variety of programming languages, database software, hardware maintenance, and operating system functions. Students will learn programming and data manipulation techniques to solve real-world business problems. This program leads to an Associate of Applied Science Degree and is preparatory for employment upon graduation from MGCCC. Where a transfer to 4-year college or university is desired, a conference should be scheduled with a MGCCC advisor. All students completing a career or technical program must complete either the MS-CPAS (Mississippi Career Planning and Assessment System) or an MGCCC Board- approved Technical Skills Attainment assessment where applicable. Students should see an advisor for further details. Data Analytics Technology Certificate Semester One IST 1113 - Fundamentals of Information Technology Credit(s): 3 IST 1124 - IT Foundations Credit(s): 4 IST 1134 - CCNA 1: Intro to Networks Credit(s): 4 IST 1624 - Network Security Fundamentals Credit(s): 4 Semester Two IST 1314 - Visual BASIC Programming Credit(s): 4 IST 1433 - Web Development Using HTML & CSS Credit(s): 3 IST 1513 - SQL Programming Credit(s): 3 IST 1733 - Data Analysis Using Excel Credit(s): 3 IST 1744 - SAS Programming I Credit(s): 4 Total Credits: 32 Data Analytics Technology Diploma Semester ThreeIST 1723 - Programming in Python Credit(s): 3 IST 2744 - SAS Programming II Credit(s): 4 IST 2734 - Data Visualization and Marketing Credit(s): 4 Technical Electives Credt(s): 4* Total Credits: 15 107'