Spark - Data Analytics Foundations [SP-DA-F01]

This program is focused on developing skilled defenders capable of understanding the importance of cybersecurity in modern organizations and recognizing the threat landscape, common threat actors, and attack surface definition. Learning Objective Learners will review fundamental cyber defense strategies and access control principles, including authentication, authorization, and the principle of least privilege. Finally, participants will identify and summarize security operations tasks, such as triaging security alerts, determining incident severity, and communicating security posture and risk to leadership.

Spark - Data Protection & Privacy Fundamentals [SP-DP-P01]

This program is designed to train professionals to manage, secure, and ensure the ethical use of personal and organizational data, focusing on regulatory compliance and the implementation of robust privacy frameworks. Learning Objective Upon completion, participants will be able to assess data privacy risks, implement data governance policies, navigate common regulatory requirements (e.g., GDPR, NDPR), and develop strategies for responsible data handling and security across a business environment.

Spark - Data Governance & Cloud Computing [SP-CC-C01]

This program integrates principles of data quality, accessibility, and management with the foundational concepts of cloud infrastructure, preparing participants to manage data assets effectively within modern, scalable cloud environments. Learning Objective Upon completion, participants will be able to design and manage data assets (data quality, metadata) using governance standards while understanding core cloud computing services, security, and deployment models (IaaS, PaaS, SaaS) for optimal business intelligence and operations.