A membership program with a Udemy course on basic data concepts, weekly knowledge jams, career development tools and mentorship services. A limited-time membership is offered at $50 USD per year, cancellable anytime, and participants can join a LinkedIn community.
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Glue is a Python library for exploring relationships within and among related datasets. It provides linked statistical graphics such as scatter plots, histograms and 2D and 3D images, with selections in one graph propagating to others. It supports user-specified links across datasets and scripting through Python's scientific libraries.
Kyso was a universal aggregator for all research formats that ceased operation on September 31, 2023, and is now maintained as an open source project. It launched in 2018 to help the data science community share insights and address collaboration challenges across varied workflows and tools, with an initial focus on Jupyter Notebooks. During its operation, it served thousands of users and hundreds of organizations.
Datacast is the personal blog and podcast series of James Le. It features written posts and podcast episodes covering topics such as data infrastructure, data observability, responsible AI, product management, and data engineering.
Sigma.js is a WebGL-powered JavaScript library for interactive graph visualization, built on graphology. It provides GPU-accelerated rendering, built-in pan, zoom, hover and multi-touch interactions, and works with React, Angular, Vue or vanilla JavaScript. Layouts, metrics and community detection come via graphology's standard library.
The Master of Management Analytics at Smith School of Business, Queen's University, combines data analytics training with business strategy and management education. It is offered in a live classroom format in downtown Toronto and a blended format with online learning and live remote instruction, and includes two one-week on-site sessions.
Dask is an open-source Python library for parallel computing maintained by contributors across dozens of companies. The site describes uses including Dask DataFrames for pandas, parallel for loops, large arrays with NumPy and Xarray, and machine learning. It can run on a laptop or be deployed on resource managers such as Kubernetes or cloud.
