CertPREP Courseware: IT Specialist Databases - Self-Paced
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Summary
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This self-paced CertPREP IT Specialist Databases course serves as a foundation layer of many web and data applications, business reporting functions, and prediction algorithms. In this course, students will learn:
- how to design and optimize a database
- how to create, update and delete records and tables
- how to filter and aggregate data
- how to automate certain procedures
Taken together, these skills will serve as an entry point into data-related careers in reporting, data engineering, and automation.
Course components:
- Lessons
- MeasureUp Practice Test for IT Specialist Databases. Practice Mode with remediation and Certification mode to simulate the test day experience.
- Labs
Duration: Approximately 36 hours of primary course content. Each learner will progress at their own rate.
Audience:
Designed for any learner interested in obtaining a working-level proficiency with databases. After completing this course, you will be able to perform the basic responsibilities of an entry-level professional in the IT field or take advanced database courses that will allow you to become a database administrator.
Prerequisites: None
Required course materials: Self-paced CertPREP IT Specialist Databases Courseware.
Course objectives:
Upon successful completion of this course, students should be able to:
- Translate business case into a normalized database design
- Create and maintain tables, views, and stored procedures that support business operations
- Create and maintain tables, views, and stored procedures that support reporting functions
- Optimize and troubleshoot queries
Lesson 1: Database Design
- Skill 1.1: Given a scenario, design tables for storing data
- Skill 1.2: Given a scenario, identify the appropriate primary key
- Skill 1.3: Given a scenario, choose data types to meet the requirements
- Skill 1.4: Given a scenario, design relationships between tables
- Skill 1.5: Normalize a database
- Skill 1.6: Given a scenario, identify data protection measures
Lesson 2: Database Object Management using DDL
- Skill 2.1: Construct and analyze queries that create, alter, and drop tables
- Skill 2.2: Construct and analyze queries that create, alter, and drop views
- Skill 2.3: Construct and analyze stored procedures and functions
- Skill 2.4: Given a scenario, choose between clustered and non-clustered indexes
Lesson 3: Data Retrieval
- Skill 3.1: Construct and analyze queries that select data
- Skill 3.2: Construct and analyze queries that sort and filter data
- Skill 3.3: Construct and analyze queries that aggregate data
Lesson 4: Data Manipulation using DML
- Skill 4.1: Construct and analyze INSERT statements
- Skill 4.2: Construct and analyze UPDATE statements
- Skill 4.3: Construct and analyze DELETE statements
Lesson 5: Troubleshooting
- Skill 5.1: Troubleshoot data object management query failures
- Skill 5.2: Troubleshoot data retrieval query failures
- Skill 5.3: Troubleshoot data manipulation query failures
