Data-Driven Cyber Risk Analysis (m/f/d)

Course overview

The data-driven cyber risk analysis combines predictive analytics, business continuity management, and IT security for proactive threat detection. The analyst collects and evaluates cybersecurity data, identifies patterns, and creates risk models. They develop predictive algorithms to forecast potential security incidents and integrate these into business continuity plans. Their tasks include continuous monitoring of security metrics, implementing preventive measures, and documenting risk assessments. They also advise on optimizing security architectures and quantify cyber risks for informed business decisions. Predictive Analytics & Algorithms - Forecast Models and Data-Driven Decisions with Big Data • Data-driven predictions for businesses - Understanding and applying forecast models • Data management for predictive analytics - Preparing and utilizing data sources • Selecting algorithms for predictions - Practically applying statistics & machine learning • Developing practical forecast models - Use cases for production, marketing, finance • Mastering the toolset for data-driven predictions - Utilizing analysis platforms & automation • Successfully training & testing models - Ensuring performance and generalizability • Translating forecasts into action - Real-time insights & decision dashboards • Minimizing risks of data-driven models - Bias, explainability & GDPR in practice • Operating predictions efficiently and sustainably - Model maintenance & ROI assessment Risk Management and Crisis Prevention - Strategies for Risk Mitigation and Process Security • Risk management systems according to COSO ERM, ISO 31000, and KonTraG • Strategic risk management and risk culture • Risk identification and early warning systems • Risk assessment and quantitative risk models • Risk control and risk mitigation strategies • Risk reporting and risk management organization Cybersecurity & Data Protection Management - Security Strategies for Digital Infrastructures • Recognizing & understanding cyber risks - Overview of data protection & IT security • Implementing data protection legally - Standards, obligations & rights • Recognizing cyber attacks & data breaches - Analyzing security gaps • Technically implementing protective measures - Securing networks, end devices & encryption • Establishing a security culture in the company - Processes, awareness & emergency preparedness • Managing data protection processes in the organization - Roles, obligations & DPIA in practice • Practically shaping cloud & mobile security - Device management & cloud encryption • Monitoring & detecting attacks - Applying SIEM, IDS/IPS & penetration testing • Preparing for IT certifications & audits - Implementing BSI basic protection & ISO 27001 • Mastering new threats - Balancing security & user-friendliness ------------------------------------------------------------------------------------------------------------------ Work with our career advisors to create your individual course pl…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Heidelberg, Neckar · Combined Learning

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