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An article comparing Topological Data Analysis results with those from t-SNE and UMAP packages. It discusses advantages of TDA coupled with self-supervised learning and covers case studies in IoT, image analysis and text analysis, plus open-source libraries for starting with TDA.
The Master's programme in Management & Data Science is an English-language M.Sc. programme combining management education with data science techniques. It is aimed at students wanting to advance skills in data analysis of real-world phenomena, and covers intelligent data analysis, artificial intelligence, machine learning and data mining. It runs over four semesters and 120 CP according to ECTS.
A book by Roger D. Peng and Elizabeth Matsui, dated 2017, about data analysis as an art. It discusses the thought process behind data analysis and covers R software development for building data science tools, including handling complex data, building R packages and custom data visualizations.
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.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
MetaReview is a free, open-source online meta-analysis tool that combines PubMed literature search, AI screening and data extraction, effect-size calculation for OR/RR/HR/MD/SMD, forest and funnel plots, subgroup and sensitivity analysis, PRISMA flow diagrams and report export. It runs in the browser without R, Stata or RevMan. A comparison page states the tool is free.
A guide that introduces data processing and cleaning in JavaScript, teaching how to load, modify and transform data using JavaScript libraries. It covers tasks geared around preparing data for further analysis and visualization, demonstrated with core JavaScript API, d3.js and lodash. It assumes some basic knowledge of JavaScript.
Data Science Toolbox applies AI to data analysis, extraction, visualization, or business intelligence.
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.
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.
Harvard Data Science applies AI to data analysis, extraction, visualization, or business intelligence.
How to Become a Data Scientist applies AI to data analysis, extraction, visualization, or business intelligence.
KNIME Analytics Platform is free and open source data analytics software with a visual workflow builder for creating data science solutions. The page lists access, blending and transformation of data from any source, visualization and analysis, and saving, sharing and reuse of workflows. It also describes integrating scripting in Python, R and JavaScript and deploying solutions in the enterprise.
Master's Degree in Data Science and Computer Engineering @ University of Granada applies AI to data analysis, extraction, visualization, or business…
Open Government Data Platform India applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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.
Dot is described as an AI data analyst that answers data questions, with chat, root cause analysis, automated reports and a context agent. Users can ask through Slack, Teams, email or the app, and answers show their queries and sources. A free tier offers 300 one-time credits.
Gopherdata's tooling directory is a curated list of tools, packages, and libraries for doing data science with Go. It organizes resources across categories such as classification, clustering, CSV handling, distributed data analysis, geospatial work, machine learning, and plotting, and also lists proposed packages meant to fill gaps in the ecosystem.
Incanter is a Clojure-based, R-like platform for statistical computing and graphics. It provides charting and visualization, mathematical, statistical, matrix and linear algebra, and data manipulation functions. It can be used as a standalone interactive data analysis environment or embedded within other analytics systems as a modular suite of libraries.
Analyzes structured data and helps produce queries, insights or visualizations.
The repository holds materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Notebooks cover chapters on Python basics, NumPy, pandas, data loading, cleaning, visualization, time series and modeling libraries, plus appendices. The code is released under the MIT license.
