Directory
AI data and analytics covers tools that use machine learning to query, analyse or visualise data. Entries include analytics platforms, notebook environments, data-cleaning utilities, charting tools and assistants that help write queries or summarise results. Some are general business tools, and others are research projects applying AI to a specific kind of data. Before uploading anything, check where your data is stored, what export options exist and how the tool handles uncertainty. These tools often handle private information, so read the terms on the source first, and verify generated numbers against the original data.
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.
Data Science Journal is a peer-reviewed, free-access academic journal published by CODATA and hosted on the J-STAGE online platform for Japanese academic journals. It provides full-text articles, with 772 registered articles and advance publication listed on the journal home page.
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.
Analyzes structured data and helps produce queries, insights or visualizations.
Data Science Toolbox applies AI to data analysis, extraction, visualization, or business intelligence.
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 Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
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.
A podcast on data visualization hosted by Enrico Bertini and Moritz Stefaner. The site lists episode archives, news items and classics, and notes that transcriptions of 170 episodes were produced with Miska Knapek.
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.
Data Visualization Ai Excel Togetherai E2b is a Hugging Face Space created by user Akshayram1. It allows users to upload CSV datasets, ask questions about the data, and receive AI-generated analysis and corresponding visualizations in response.
This is the website for the second edition of Data Visualization: A Practical Introduction by Kieran Healy, forthcoming from Princeton University Press. It contains a complete draft of the manuscript, and the book is not yet available for pre-order. According to the preface, the book teaches the ideas and methods of data visualization in a reproducible way.
Data-Magnum is a full-stack technology services company. It offers AI-native product engineering and application development, digital marketing and growth services, enterprise systems implementation (Salesforce, MuleSoft, SAP), custom web and mobile app development, and managed IT support services.
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.
DataCite is an organization that supports research data management and discovery. It offers services including DOI creation for research outputs, metadata harvesting, research workflow integration, and resources to promote data reuse, with membership options for institutions and individuals.
DataComPy is a package for comparing two DataFrames or tables. It supports Pandas, Polars, Spark (classic and Spark Connect), and Snowflake, and was originally created as a replacement for SAS PROC COMPARE for Pandas DataFrames. It prints stats and lets users adjust required match accuracy.
Dataconomy is a news site covering technology and business topics. Its homepage lists recent articles on subjects including TikTok advertising, PS5 emulation, Character.AI staffing, DeepSeek API pricing, NVIDIA hardware, Tesla vehicles, Google Gmail features and Netflix layoffs. Other pages carry articles on the Opera Air browser and comparisons of crypto loan platforms.
DataDeps.jl is a Julia package designed to facilitate reproducible data setup for scientific research. It manages data dependencies and includes features such as progress callbacks. The repository is maintained on GitHub.
DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
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.
A lightweight framework for data analysis in JavaScript.
DataLine is an AI data analysis and visualization tool that lets users chat with their data to generate tables, charts, and dashboards. The page describes it as suited to non-technical people querying data and to developers seeking a text2sql solution.
DataMaps is a jQuery plugin for geographical map data visualizations using d3.js and SVG. The page lists changelog entries, including high resolution maps in v0.5.0 and a reset option parameter for updateChoropleth in v0.4.4.
