Open Data Science Courses

Building a Data Mesh - Strategies and Best Practices

Explore data mesh architecture: benefits, challenges, and best practices for implementation. Learn strategies for designing data products, governance models, and ensuring data quality in this decentralized approach.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

AI for Cybersecurity

Explore AI's role in cybersecurity, including research examples, workforce development, and the AI4Cyber Virtual Machine. Gain insights on integrating AI into security practices and optimizing operations.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Data Planning to Implementation

Explore the journey from data planning to implementation, covering data strategy, maturity, roadmaps, and best practices for turning insights into actionable solutions across businesses.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

An Intuition-Based Approach to Reinforcement Learning

Explore an intuition-based approach to reinforcement learning, covering key concepts like exploit vs. explore, Q-tables, and stochastic actions, with practical examples and applications.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Real-Time Analytics and Built-In Machine Learning Models With a Single Database

Explore real-time analytics and machine learning with HTAP databases. Learn to leverage SQL for model building and discover tools for efficient data infrastructure in this hands-on webinar.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Streaming Featurization with Ibis, Substrait and Apache Arrow

Explore real-time streaming data processing using Ibis, Substrait, and Apache Arrow. Learn how this software stack enhances featurization workflows for fast, accurate insights and decision-making in data science.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Cybersecurity and Policing in the Metaverse

Explore cybersecurity challenges in the Metaverse with Jack McCauley. Learn about potential threats, privacy risks, and how AI can combat cyberattacks in virtual environments.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Denoising Diffusion-Based Generative Modeling

Explore diffusion-based generative modeling, its advantages over other approaches, and applications in image generation and inverse problems. Learn about score functions, training methods, and recent advancements.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

CI-CD for Machine Learning

Automate ML model training and evaluation using GitLab CI/CD. Learn to allocate cloud instances, generate performance reports, transfer data, and customize workflows for efficient machine learning development.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Machine Learning for the 99%

Strategies for small and medium-sized organizations to overcome challenges and implement machine learning in real-world applications, focusing on product definition, data, deployment, and ethics.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Overcoming Challenges of Movement Data Quality to Enable High Fidelity Use Case

Practical guidance on evaluating movement data quality, selecting providers, and building a reliable location intelligence platform for high-fidelity use cases.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Responsible AI- From Principles to Practice

Explore ethical AI implementation, from principles to practice, focusing on healthcare considerations and practical tools for responsible AI throughout the development lifecycle.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Leadership and AI

Explore the critical role of leadership in AI adoption, emphasizing the importance of understanding AI models, their applications, and potential pitfalls to drive organizational success and avoid historical missteps.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Transitioning From an Analyst to Data Science Role

Learn strategies to transition from analyst to data scientist, exploring paths like self-teaching, formal education, and in-role upskilling. Discover key differences between roles and design your career progression.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Data Science Supporting Clinical Decision Making - What, Why, How?

Explore opportunities and challenges in using electronic health records for clinical decision support, focusing on natural language processing to transform clinical documentation into structured data.

• YouTube
• 38 minutes
• Self-Paced
• Free Video