Data Processing Courses and Classes Overview

Essential Information

Coursework in data processing can be found in diploma, certificate and undergraduate degree programs in database administration and computer information technology. In addition to diplomas and certificates, students enrolled in these programs may earn degrees, such as an Associate of Science (AS) in Information Technology or a Bachelor of Applied Science (BAS) in Information Systems and Technology.

Some common concepts taught in these courses are:

  • Different types of information systems
  • Project management techniques
  • Modeling different data systems
  • Developing programs related to data processing
  • Testing and maintaining systems of data

List of Popular Courses

Introduction to Computer-Based Systems Course

This course offers students an overview of computer information systems, hardware, software and procedures utilized in business and other professional settings. Programming languages are also discussed. Students may need to complete this course before being able to move on to more advanced data processing coursework.

Systems Analysis Course

Data processing students can gain an introduction to computer and network systems analysis by learning about analytical and numerical modeling and measurement methods of database organization. Flow process charting, data structures, feasibility determination are discussed in these courses, as well as how to analyze system components for problems. Students learn to identify when systems require updates or replacements.

Database Administration Course

Students learn about the structure and programs needed to organize, retrieve and store information by using basic database commands. An introduction to the design, evaluation and implementation of different database management systems is also covered. These system types could include flat-file, network, hierarchal, relational, text-oriented, and object-oriented. Students also learn to create backup and database recovery strategies using Administrative Structured Query Language (SQL) and other tools.

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