[Assess learners' ability to evaluate and compare security guarantees, threat models, and trade-offs between homomorphic encryption (HE), secure multiparty computation (MPC), and differential privacy (DP) for privacy-preserving data analytics. Scope includes computational and communication overhead, accuracy vs. privacy, scalability, parameter selection, implementation and deployment constraints, hybrid approaches, and justification of technique choice for given use cases and regulatory considerations.]