CompTIA Data+ (DA0-001) Cert Prep: Domain 5.0 Data Governance, Quality, and Controls
1h 22mBeginner2021-11-23
Authors

Mike Chapple
Teaching Professor at the University of Notre Dame
Course details
Data governance and quality controls help organizations ensure that their data is accurate, timely, valid, consistent, and unique. In this course—an installment in a six-course series preparing you for the CompTIA Data+ (DAO-001) exam—learn about data governance, quality, and controls in preparation for the test. Instructor Mike Chapple dives into the subject of data stewardship, exploring the responsibilities and attributes of a good data steward, as well as what organizations can do to improve the quality of that data. Mike also covers the main goals of information security, how to develop a privacy program, and the international, national, and local laws governing data security.
Skills covered
Data GovernanceCert PrepData Science
Concepts
0. Introduction
- 01 - Data governance
- 02 - What you need to know
1. Data Governance Programs
- 03 - What is data stewardship
- 04 - Exploring data stewardship roles
- 05 - Qualities of a good data steward
- 06 - Data stewardship responsibilities
2. Maintaining Data Quality
- 07 - Implementing master data management
- 08 - Developing data definitions
- 09 - Protecting data quality
- 10 - Validating data quality
3. Protecting Data Security
- 11 - Goals of information security
- 12 - Preserving data confidentiality
- 13 - Building an access management program
- 14 - Managing the data lifecycle
4. Preserving Individual Privacy
- 15 - Privacy program development
- 16 - Generally accepted privacy principles
- 17 - Data anonymization
- 18 - Data obfuscation
5. Regulatory Compliance
- 19 - Today's regulatory landscape
- 20 - Health Insurance Portability and Accountability Act (HIPAA)
- 21 - Family Educational Rights and Privacy Act (FERPA)
- 22 - Gramm-Leach-Bliley Act (GLBA)
- 23 - Data breach notification laws
- 24 - International data transfers
6. Getting Started
- 25 - Data inventory
- 26 - Entity relationship diagrams
- 27 - Data classification
Conclusion
- 28 - Continuing your studies