All current Datenwissenschaft courses in 2024
1127 Kurse
From Data to Decisions: Finding Patterns with AI
Discover how to leverage AI tools for creating data visualizations, conducting statistical analyses, and generating clear explanations of patterns and relationships in your data.
Accelerating Data and AI with Spice.ai Open-Source Software
Discover how Spice.ai's open-source software accelerates data and AI development, exploring innovative approaches to streamline machine learning workflows and enhance database integration.
From Data to Decisions: Making Predictions with AI
Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.
Navigating the Nuances of AI and ML Product Management
Discover the unique challenges and strategies of AI/ML product management, from data handling to ethical considerations, cross-functional collaboration, and user-centric design principles.
Generative AI for Social Media Content Categorization - From Theory to Production
Discover how to combine RAG & LLMs for scalable YouTube channel categorization, with practical examples, production insights, and live demonstrations of AI-powered content analysis.
Let's Adopt Generative AI in Enterprise - Best Practices and Challenges
Gain insights into enterprise AI adoption strategies, challenges, and best practices through PagerDuty's journey implementing generative AI technologies across teams and infrastructure.
Evolving Storage Solutions for AI/ML Performance and Scale
Discover how Samsung's innovative object storage solutions and DSS stack optimize AI/ML workloads, enabling unprecedented performance and scalability for machine learning applications.
Many Faces of Real-time Analytics: A Guide to System Classification and Implementation
Explore real-time analytics systems classification, characteristics, and technology choices for implementing different analytical solutions in production environments.
Preventing Toxicity and Unconscious Biases Using Large Language and Deep Learning Models
Discover how large language models and BERT transformers can detect and prevent unconscious biases in AI systems, achieving 98.7% accuracy across diverse data sources and cultural contexts.
Digital Twins - Journey to the Center of Massive Data
Explore digital twin technology's role in Industry 4.0, understanding how virtual representations of physical systems enable AI-driven decision-making and real-time data processing for smart factories and cities.
A Guide to Modern Data Stack - Building Efficient Data Infrastructure
Discover how to build and optimize a modern data stack with expert guidance on essential components, technologies, and best practices for efficient data management and analytics infrastructure.
Data as the New Commodity: AI, Sustainability and Financial Innovation
Explore how data emerges as a valuable commodity, driving AI advancement and financial innovation while addressing sustainability challenges and ethical considerations in the modern digital economy.