
Learn to build interactive data science dashboards using Streamlit in Python, covering layout design, data visualization, and customization techniques for creating professional-looking web applications.

Learn essential math operations in Python for data science, including multiplication and exponents, using Jupyter Notebooks as a powerful computational tool.

Create interactive data visualizations, including the Gapminder Animation, using Plotly Express in Python with minimal code. Learn to build and enhance plots step-by-step for effective storytelling.

Explore the shape of neuron activations in deep learning using topological data analysis. Gain insights into learned representations of image classifiers with TopoAct visualization system.

Explore the mapper algorithm in applied topology, its connection to Reeb graphs, and its application to high-dimensional data analysis and 3D object recognition.

Explore techniques for visualizing 2D persistent homology, a powerful tool in topological data analysis, to gain insights into complex datasets and their underlying structures.

Comprehensive guide to mastering Numpy, Pandas, and Plotly for data science in Python. Covers core concepts and practical applications with free, commented code files for hands-on learning.

Comprehensive Tableau training covering fundamentals to advanced techniques. Learn data visualization, calculations, formatting, storytelling, and sharing insights using Tableau's powerful features.

Learn to create and use 10 essential Excel chart types, from histograms to pie charts, with step-by-step guidance for beginners and intermediate users.

Explore Weave and Production Monitoring features for enhanced model training and productionization. Learn about Weave's ecosystem, composition capabilities, and the new Production Monitoring tool for improved AI/ML workflows.

Comprehensive tutorial on creating engaging presentations with Google Slides, covering basics to advanced features like slide masters, animations, and data integration for effective visual communication.

Comprehensive tutorial on advanced Tableau techniques, covering visualizations, calculations, and table manipulations for effective data analysis and storytelling.

Master Altair's scales, axes, and legends for effective data visualization in Python. Learn to customize charts, enhance readability, and extract insights using advanced techniques and color encoding.

Explore data preparation techniques in Altair for effective visualization, including aggregation, binning, time unit transforms, and filtering to shape and analyze your data effectively.

Explore Altair's fundamental components for data visualization in Python, including data types, graphical marks, and visual encoding channels. Learn to create interactive and customizable charts.

Comprehensive tutorial on Altair for data visualization in Python, covering setup, basic plots, customization, interactivity, and advanced features. Ideal for beginners and intermediate users.

Learn to build interactive dashboards using PyScript, Altair, and Pandas. Create visually appealing data visualizations from fitness tracker data with step-by-step guidance on data processing and chart customization.

Learn to use YouTube Analytics and Data APIs with Python, covering setup, authentication, data retrieval, and creating CLI tables. Gain practical skills for working with Google's latest API libraries.

Learn to create an interactive dashboard using PyScript and Altair, from setup to deployment. Covers importing dependencies, building visualizations, and deploying the final product on GitHub Pages.

Explore HPC simulation data visualization using VisIt software, focusing on techniques for analyzing large-scale scientific datasets in high-performance computing environments.

Explore data visualization techniques with artist Shirley Wu, learning to transform complex data into stunning, understandable designs through sketching, analysis, and creative approaches.