
Explore techniques for structuring and visualizing unstructured data in machine learning, from classification to Retrieval-Augmented Generation, using tools like UMAP and Renumics Spotlight to uncover patterns and evaluate model performance.

Explore powerful Exploratory Data Analysis techniques for cleaning, visualizing, and understanding datasets to drive insights and inform decision-making in business contexts.

Learn essential research and programming practices for computer science grad school, from version control to experiment organization and data visualization.

Explore challenges in analyzing local memory allocators' performance impact on C++ runtime. Learn to choose tools, overcome instrumentation limitations, and design effective visualizations.

Explore geometric and topological machine learning techniques for mapping brain dynamics and trajectories, enhancing understanding of neural processes.

Explore hands-on teaching using Jupyter Notebooks on nanoHUB for chemistry courses. Learn to create interactive simulations, visualizations, and programming projects for enhanced student engagement and learning.

Learn to create mobile data visualization apps using Python tools like NumPy and Matplotlib, without needing specialized mobile development skills.

Exploring Python's role in analyzing landslide risk in Southeast Alaska, showcasing how data analysis can create a community-driven early warning system for potential disasters.

Explore py5, a Python framework for creative coding similar to Processing. Learn data visualization, art creation, and educational applications using familiar Python libraries.

Explore temporal hypergraphs and zigzag persistence to analyze complex systems' topological evolution, applied to cybersecurity and social networks for understanding underlying dynamics.

Learn to leverage Word Copilot for efficient document creation, from drafting and rewriting to visualizing data and integrating with editing tools. Master AI-assisted writing to enhance productivity.

Master Power Query in Excel: Learn to gather, clean, and transform data efficiently. Streamline your workflow, automate tasks, and optimize data preparation for analysis.

Explore how Pivot Bio revolutionizes agricultural analytics using Databricks and CARTO, integrating diverse datasets for comprehensive farming insights and empowering spatial analysis in modern agriculture.

Transforme relatórios estáticos em insights em tempo real usando Databricks, ThoughtSpot e Power BI. Aprenda a construir uma plataforma de análise avançada para capacitar gerentes e analistas com dados atualizados.

Discover Graphite: a unified app for querying content lifecycle data, offering real-time insights into revenue streams using Databricks technologies and natural language querying for transformative data interaction.

Explore CDC's enhanced big data processing for public health visualizations, optimizing respiratory illness monitoring through efficient data management and accelerated insight delivery.

Explore how Bradesco leveraged GenAI to revolutionize processes, enhance customer experiences, and achieve operational efficiency gains while maintaining governance and security through a lakehouse architecture.

Explore Tableau's innovations for Lakehouse analysis, including Delta Sharing connector and AI-driven insights. Learn about secure data visualization and future developments in this expert-led session.

Explore AI-powered data warehousing with Databricks SQL, addressing performance, governance, and usability challenges through intelligent data understanding and innovative features like natural language queries.

Learn to create 2D, 3D, polar plots, and animations in Scilab. Master various visualization techniques for numerical computational tasks, enhancing your data representation skills.

Explore innovative Python tools and data storytelling techniques to create engaging, interactive presentations that captivate audiences and enhance information retention.