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ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
Data Science Degree @ Berkeley refers to the UC Berkeley School of Information's online Master of Information and Data Science (MIDS) program. The program is designed for working professionals, features a rigorous holistic curriculum, flexible program paths, and a capstone component, and is nationally recognized by Fortune.
The Data Science Lab is a blog of experiments with data. Posts cover topics including k-means clustering, k-means++ seeding, the gap statistic, and an alternative approach to selecting the optimal number of clusters based on a 2004 publication by Pham, Dimov and Nguyen. A 2014 annual report notes the blog was viewed about 74,000 times that year.
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
Data Science Trello Board is a Trello project board intended for organizing data science work. The associated page displays a notice that Trello resources may fail to load due to browser, firewall or proxy configuration issues, and provides troubleshooting guidance for users.
Data Studio is a web-based reporting tool for building interactive dashboards and reports. It offers built-in and partner connectors to access many kinds of data, and allows reports and dashboards to be shared with individuals, teams or the public, embedded on web pages, and viewed in a gallery. The page states it is easy and free to use.
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.
DataHub Cloud is a platform for discovering, accessing, and working with high-quality data. It offers curated datasets, including country codes, S&P 500 company data, airport codes, and geographic boundaries, as well as enterprise data solutions. It features an AI-native interface with agentic workflows.
Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
dplyr is an R package providing a grammar of data manipulation with a consistent set of verbs, including mutate(), select(), filter(), summarise() and arrange(), which combine with group_by(). It is designed to abstract over how data is stored, so the same R code works with local data frames and remote database tables via the dbplyr package.
Excelmatic, offered by RowSpeak, is an AI-powered data analytics tool that processes messy Excel, CSV, PDF, and image tables. It uses AI to identify trends, explain data changes, generate charts, dashboards, and reports, cleanse data, and convert files between formats including images and PDFs to editable Excel spreadsheets.
Import.io is a web data extraction and AI infrastructure platform. It converts website content into structured data, and provides web scraping tools, managed data services, pricing intelligence, and MCP tools for AI agents. It supports use cases across multiple industries including retail, ecommerce and AI development.
The oneAPI Data Analytics Library (oneDAL) is a library for data analytics. It is hosted on GitHub under the uxlfoundation/oneDAL repository. The repository provides usage examples, installation instructions, and documentation.
Japan Neighborhoods provides data-driven neighborhood guides for Japan. It offers crime statistics, safety scores, demographic data, cost of living, and real estate information for over 5,000 Tokyo neighborhoods. The data is sourced from official government sources and presented through safety rankings, interactive maps, and property listings.
Data Mining, Analytics, Big Data, Data, Science not a blog a portal.
A federated, open-source data catalog for all your big data and small data.
The Master of Applied Data Science is a graduate degree program offered by Syracuse University, available in both online and on-campus formats. The program can be completed in as little as one year and is designed to provide students with skills to thrive in data-driven environments.
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. It is described as a data analysis and manipulation tool built on top of Python. Documentation, a user guide and an API reference are available.
Quilt is a scientific data management platform hosted on Amazon Web Services (AWS) that helps teams and AI systems locate, verify the trustworthiness of, and reuse data via deeply versioned, context-rich data packages.
Redash is an open source tool for connecting to data sources, querying, visualizing and sharing data. It supports SQL, NoSQL, Big Data and API sources including PostgreSQL, MySQL, Redshift, BigQuery and MongoDB. Users build dashboards, set alerts and manage access.
The Data Science Lifecycle Process is a repeatable, sustainable process for guiding data science teams from initial idea to delivered value. The process is fully documented in the public GitHub repository dslp/dslp.
Post by Travis Tang from DataDrivenInvestor.
A personal blog by Alex Smola titled Adventures in Data Land, covering machine learning topics. Entries include efficient LLM inference tutorials, random projections, effective sample size, voice agents and evaluation, and porting MXNet to Blackwell and Apple Silicon. Posts reference events such as the Machine Learning Summer School 2026 in NYC.
German book about applied data science.
