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Data Policies and Practices for Business

In today’s digital landscape, safeguarding sensitive information is critical for businesses. Enhance your organization's data management capabilities with the Data Policies and Practices for Business Training Pathway. Employees can learn to implement Privacy by Design strategies to comply with different regulation groups to ensure data protection and ethical standards.

Explore advanced encryption, breach response planning and robust security measures to protect data across platforms. Develop organizational policies for ethical data use, fostering transparency and accountability, while learning about data governance frameworks to maintain high data quality and compliance. And support your team's skills in managing data ethically and securely, driving business innovation and consumer trust.

Skills you'll learn

  • Applying Privacy by Design data strategies to ensure regulatory requirements compliance.
  • Implementing robust data security measures and effectively managing data breaches.
  • Implementing robust data accountability frameworks and effectively managing consent.
  • Applying rigorous data quality metrics and utilizing modern tools for ongoing data management.

Skill modules

Effective Data Privacy Practices

    • Implementing GDPR and CCPA Regulations
    • Enforcing CCPA Compliance

Data Security Best Practices for Business

    • Strengthening Data Security Measures
    • Managing Data Breaches

Ethical Data Use Practices

    • Principles of Ethical Data Use
    • Building Trust through Responsible Data Practices

Sustainable Data Governance Practices

    • Data Governance Frameworks
    • Quality Management and Data Standards

Showcase your achievement

Share your Certificate of Completion and Professional Development Badge by uploading them to your social media profiles, such as LinkedIn® *^** , when you’ve successfully completed your course with a score of 85% or higher.

¹ LinkedIn is a registered trademark of LinkedIn Corporation and its affiliates in the United States and/or other countries.

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Frequently asked questions

A skill module teaches a single skill in four to eight hours

  • A one-hour skill module teaches a single skill in about one hour.

Every type of skill module features one or more assessments and awards a shareable digital skill badge when completed with a score of 85% or better.

A Skills Pathway is a series of skills that can be learned over a period of time.

Prebuilt Pathway: A series of two or more existing skill modules that’s ready to launch today.

- Training Pathway: A series of two or more one-hour skill modules that does not prepare employees for a certification exam or help them earn recertification credits.

- Certification Pathway: Completing this Prebuilt Pathway can help employees prepare for a third-party certification exam.

- Recertification Pathway: Completing this Prebuilt Pathway can help employees earn recertification credits for a specific agency such as SHRM® and HRCI®.

Tailored Skills Pathway: Select multiple existing skill modules to create this Pathway. Skill modules and assessments can be modified slightly to accommodate the needs of your business.

Custom Skills Pathway: Our team will build completely new skill modules and assessments for your business and workforce.

SHRM is a registered trademark of Society for Human Resource Management. HRCI is a registered trademark of HR Certification Institute.

There are no prerequisites. All levels and skillsets are welcome to take the Data Policies and Practices for Business non-college-credit Training Pathway.

Data Policies and Practices for Business has four one-hour skill modules comprised of subjects like Ethical Data Use Practices. Each module has a knowledge check and skill assessment where employees can demonstrate what they've learned. You can expect this Skills Pathway to take about four hours, and all modules are non-credit, 100% online and self-paced.

Other learning you may be interested in

Big Data Strategies for Business
Business Insights through Data Analysis
Practical AI in the Workplace