Data Security for Business Professionals Learning Plan
Course 1: Introduction to Data Security
- Impact of Data Breaches on Business
- Types of Data
- Definition and Key Concepts of Data Security
- Data Security for Business Professionals Learning Plan – Courses
- Course Goals
- Common Data Security Threats
- Recognizing Suspicious Emails and Websites
- Best Practices for Password Management
- ‘Practical’ Data Security Practices
- Secure File Sharing and Collaboration Practices
- Secure Disposal of Sensitive Information
- Data Security for Remote Work
- Secure Remote Access Methods
- Best Practices for Securing Home Networks and Devices
- Data Security for Business Professionals – Progress Review
Course 2: Data Security Strategies
- Course Goals
- Data Security for Business Professionals Learning Plan – Courses
- Data Security in Business Operations
- Data Security Roles and Responsibilities
- Reporting and Responding to Data Security Incidents
- Data Security Breaches and the Immediate Response Based on the Situations are Provided
- Common Controls and Measures for Data Security
- Relevant Tools for Data Security
- Types of Firewalls
- Zero Trust Security
- Zero Trust Access
- Zero Trust Security vs. Zero Trust Access
- Data Security for Business Professionals – Progress Review
Course 3: Data Security – Securing Corporate Assets
- Course Goals
- Data Security for Business Professionals Learning Plan – Courses
- Implications for Individuals and Organizations
- Potential Risks and Consequences of Security Breaches
- Reputation Management and Consumer Trust
- Case Studies of Data Security Breach
- Protecting Cloud, On-Premises, Apps, Devices, Corporate Data, and the Network
- Overview
- Identity and Access Management (IAM) in the Cloud
- Security Controls for Cloud Storage and Databases
- Securing On-Premises Infrastructure and Data
- Physical Security Considerations for Data Centers
- Network Segmentation and Access Controls
- Best Practices for Securing Applications, Mobile Devices, and Corporate Data
- Secure Coding Practices for Developers
- Mobile Device Management (MDM) and Bring-Your-Own-Device (BYOD) Policies
- Data Security with AI/Machine Learning
- Types and Empowerment in Data Security
- Supervised/Unsupervised Learning
- Natural Language Processing (NLP)
- Reinforcement Learning/Deep Learning
- Applications of AI/ML in Data Security
- Challenges in AI and ML Implementation
- Data Security for Business Professionals – Progress Review