Security for Engineering Leaders: Data Security for Engineering Projects

Security    |    Intermediate
  • 18 Videos | 1h 6m 43s
  • Includes Assessment
  • Earns a Badge
Understanding the who, where, and what is important for good outcomes when it comes to data security. Through this course, explore a breakdown of data security challenges and best practices, and how to use your knowledge of them like tools in a toolbox. Discover data security challenges that occur with teams, data, and projects, examine data security in the cloud and in data centers, learn about project data sets, and explore team expertise levels and other elements of a team before, during, and after a project. After course completion, you'll be able to apply a better understanding of data security challenges and best practices for teams and projects.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    identify challenges and best practices around who works with data
    state challenges and best practices around data security and team management
    outline challenges and best practices around the management of data that is in motion, at rest, or in use
    identify challenges and best practices around project workflow methods
    state challenges and best practices around the different places data can be
    outline challenges and best practices around data security and the cloud
    discern differences and similarities in AWS, Azure, and Kubernetes
    identify data security challenges around confidentiality, integrity, and availability
  • outline how data is secured in a data center
    describe best practices for data security in collaborative workspaces including using boards and repositories
    apply data security best practices in the test bed including isolating assets and using disposable assets
    identify challenges and best practices around data sets, expertise levels, and outcomes
    state best practices around data sets including security, classification, and stewardship
    consider different data security team options including dedicated, cross-organizational, and mixed teams
    describe security awareness practices in teams including clarity of scope, clear communications, and general security awareness
    discuss the importance of benchmarks and scope fulfillment
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    40s
    UP NEXT
  • Playable
    2. 
    The Who of Data Security
    5m 24s
  • Locked
    3. 
    Data Security: Team Challenges
    3m 41s
  • Locked
    4. 
    Data Security: Data Challenges
    4m 59s
  • Locked
    5. 
    Data Security: Project Challenges
    4m 8s
  • Locked
    6. 
    The Where of Data Security
    7m 3s
  • Locked
    7. 
    Data Security in the Cloud
    4m 43s
  • Locked
    8. 
    Frameworks for Data Security
    4m 49s
  • Locked
    9. 
    Data Security Challenges
    5m 9s
  • Locked
    10. 
    How Data is Secured in a Data Center
    3m 31s
  • Locked
    11. 
    Data Security in Collaborative Workspaces
    4m 13s
  • Locked
    12. 
    Data Security in the Test Bed
    2m 59s
  • Locked
    13. 
    The What of Data Security
    3m 22s
  • Locked
    14. 
    Project Data Sets
    2m 58s
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    15. 
    Data Security Team Options
    3m 10s
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    16. 
    Team Expectations and Understandings
    2m 56s
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    17. 
    Expected Project Outcomes
    1m 53s
  • Locked
    18. 
    Course Summary
    1m 8s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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