
Explore metrics for data-driven decisions in open source communities. Learn from real-world examples and CHAOSS Project insights to overcome challenges and track community impact effectively.

Explore transformer architectures for time series analysis, challenges in adapting NLP models, and their application in latency prediction for Kubernetes clusters.

Explore OpenSearch's anomaly detection capabilities through a hands-on walkthrough of remote logging setup, using fluent-bit and creative techniques to spark ideas for larger-scale solutions.

Insights on establishing an Open Source Program Office in a proprietary software company, addressing challenges, cultural shifts, and lessons learned from SAS's experience.

Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across disparate storage systems, optimizing big data processing and enabling new workloads.

Explore strategies for interpreting, improving, and communicating open-source community health findings within organizations, enhancing collaboration and project success.

Explore big data and AI/ML collaboration for invasive plant eradication, covering challenges, architecture, data flow, and lessons learned in scalable machine learning systems.

Learn essential open source metrics and analysis techniques, covering data challenges, GitHub bots, accountability, privacy, and best practices for meaningful insights.

Explore data science techniques for extracting meaningful insights from open source community metrics, enhancing decision-making and advocacy in the evolving landscape of community management.

Explore data-driven methods to assess open source project health using GitHub data. Learn to create dashboards and ML models for deeper insights into software development processes.

Learn to create custom trace data visualizations using KernelShark plugins. Explore basic concepts, visualization models, and practical examples for enhanced data analysis and interpretation.

Explore a research-based framework for eliminating barriers to contribution in open source communities, focusing on internal processes, social challenges, and inclusion strategies.

Learn to identify superkeys and candidate keys in database management systems through practical examples and problem-solving techniques.

Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.

Explore the causes and impacts of burnout, analyze survey data, and discover strategies for promoting healthier outcomes in professional environments.

Exploring media coverage and polling in 2016 elections, discussing improvements for future reporting and predictions, and examining the role of news consumers in election years.

Hands-on workshop teaching how to create custom maps and animations using NASA's satellite imagery to visualize environmental changes, disasters, and air quality.

Explore techniques for detecting tectonic and climatic signals in GPS position data, enhancing understanding of Earth's dynamic processes and environmental changes.

Explore statistical methods for identifying irregularities in election data, focusing on the 2020 US presidential race and its unique challenges in data analysis and interpretation.

Explore the significance of small data in statistical and data science, emphasizing its role alongside big data in modern research and analysis methodologies.

Comprehensive tutorial covering Google Sheets essentials: navigation, formulas, data manipulation, charts, pivot tables, functions, collaboration, and more. Perfect for beginners and intermediate users seeking to enhance spreadsheet skills.