Strategic Data & AI Analyst (m/f/d)

Course overview

The Strategic Data & AI Analyst analyzes complex data structures and develops predictive models to support decision-making within the company. They combine methods of artificial intelligence with business expertise to optimize business processes. Their tasks include creating statistical analyses, implementing machine learning algorithms, and transforming data into actionable insights. The analyst collaborates with various stakeholders, identifies business problems, and develops data-driven solution strategies. They are proficient in programming languages such as Python, R, and SQL, as well as visualization tools for presenting results. Predictive Analytics & Algorithms - Forecast models and data-driven decisions with Big Data • Data-driven predictions for companies - Understanding and applying forecast models • Data management for predictive analytics - Preparing and making data sources usable • Selecting algorithms specifically for forecasts - 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 & evaluating ROI Data Science & AI - Data analysis and decision support through intelligent systems • Strategic use of AI and Data Science - Future trends and application potentials • Managing and preparing data sources - Structuring and automating data flows • Practically applying Data Science tools - Technologies and frameworks in use • Developing and analyzing data models - From EDA to predictive forecasts • Purposefully using AI models - Recognizing patterns, finding anomalies, utilizing deep learning • Strategically employing data-driven decisions - Real-time analyses and business impact • Effectively presenting analysis results - Data storytelling for decision-makers • Working fairly, transparently, and in compliance with data regulations - GDPR and explainability in practice • Overcoming pitfalls in data practice - Promoting data culture and acceptance • Successfully measuring and managing data projects - Optimization through feedback and KPIs Business Management - Fundamentals of Business Administration for Production Management and Operational Executives • Corporate management and strategic orientation • Strategic analysis and planning tools • Portfolio and performance management • Organizational structures and process management • Production planning and manufacturing control • Supply chain management and materials management according to ISO 55000ff • Financial management and controlling for production managers ------------------------------------------…

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