Thank you for choosing Lakeland Community College. We are committed to providing high quality learning opportunities. As you select your courses, please note that Lakeland offers a variety of schedule types. After you register, please check your Lakeland student email regularly for course updates.
It is expected that students will spend 2 to 3 hours, minimally, outside of the classroom/laboratory performing course related work such as readings, research, homework assignments, practica, studio work, and other academic work for every hour of instruction spent in the classroom/laboratory.
SEARCH: Term: Fall 2026
, Keyword: , Subject: ITDB , Schedule Type: ALL , Instructor: ALL , Campus: ALL , Seats: Open Only
Prerequisite: ITIS 1005 or ITIS 1007 or permission of instructor.
This course provides instruction in SQL (Structured Query Language) as well as a foundation in relational database theory and design. Students will learn various concepts as they apply to relational database management including the importance of database in applications, data modeling, database normalization, and SQL for data processing. Students will also be introduced to concepts in data analytics and database administration. This course helps students to prepare for industry certification. Although it is not a prerequisite for this course, students may benefit from taking a programming course prior to taking this course.
(5 contact hours: 1 lecture, 4 lab) (TAG) [Catalog Entry] ADDITIONAL FEES: $15.00
Prerequisite: ITIS 1005 or ITIS 1007 or permission of instructor.
This course provides a survey of current enterprise database management systems utilized in cloud, web, and embedded applications. Students will learn how to install, configure, design, and optimize database systems. Concepts in database design theory and management will be covered. Students will learn how to utilize SQL for data analysis and application implementation.
(3 contact hours: 1 lecture, 2 lab) [Catalog Entry] ADDITIONAL FEES: $20.00
This course provides students with an introduction to a range of concepts, techniques, and applications within data science and analytics in various settings. Students will gain experience in data storage, processing, analysis, visualization, and application issues as well as hands-on experience using various tools for data analysis. (4.5 contact hours: 1.5 lecture, 3 lab) (OT36) [Catalog Entry] ADDITIONAL FEES: $15.00