# DataKwery

> DataKwery is a data science and AI education aggregator. It indexes 3,000+ courses, certificates, degrees, tutorials, and learning resources from top platforms and universities, helping learners find the right data skills training by tool, technique, career role, or provider.

DataKwery believes that data skill gaps are harming organizations and their people. Anyone with motivation, baseline fundamentals, and enough time can learn data skills today from the best education brands in the world, often for free. The site supports English, Spanish, and Simplified Chinese.

## Core Features

- **Course Catalog**: 3,000+ indexed courses, tutorials, videos, cheatsheets, and degree programs from platforms like Coursera, DataCamp, edX, Udacity, FutureLearn, and Codecademy
- **Browse by Tool**: Find courses by software tool — Python, R, SQL, Excel, Tableau, Power BI, and more
- **Browse by Technique**: Find courses by topic — Machine Learning, AI, NLP, Data Visualization, Statistics, and more
- **Browse by Career Role**: Data Analyst, Data Scientist, Data Engineer, Business Analyst, Data Architect, and more — with salary data, job descriptions, and recommended learning paths
- **Learning Paths**: Structured multi-course sequences including Specializations, Professional Certificates, MicroMasters, and Career Paths
- **ML-Powered Recommendations**: Content recommendations generated via NLP and cosine similarity
- **Blog**: Original editorial articles on data science education

## Browse by Tool

- [Python](https://www.datakwery.com/tools/python/)
- [R](https://www.datakwery.com/tools/r/)
- [SQL](https://www.datakwery.com/tools/sql/)
- [Excel](https://www.datakwery.com/tools/excel/)
- [Tableau](https://www.datakwery.com/tools/tableau/)
- [Power BI](https://www.datakwery.com/tools/power-bi/)
- [All Tools](https://www.datakwery.com/tools/)

## Browse by Technique

- [Machine Learning](https://www.datakwery.com/techniques/machine-learning/)
- [Artificial Intelligence](https://www.datakwery.com/techniques/artificial-intelligence/)
- [Data Visualization](https://www.datakwery.com/techniques/data-visualization/)
- [Natural Language Processing](https://www.datakwery.com/techniques/natural-language-processing/)
- [Deep Learning](https://www.datakwery.com/techniques/deep-learning/)
- [Statistics](https://www.datakwery.com/techniques/statistics/)
- [All Techniques](https://www.datakwery.com/techniques/)

## Browse by Career Role

- [Data Analyst](https://www.datakwery.com/roles/data-analyst/)
- [Data Scientist](https://www.datakwery.com/roles/data-scientist/)
- [Data Engineer](https://www.datakwery.com/roles/data-engineer/)
- [Business Analyst](https://www.datakwery.com/roles/business-analyst/)
- [All Roles](https://www.datakwery.com/roles/)

## Browse by Industry

- [Finance Analytics](https://www.datakwery.com/techniques/finance-analytics/)
- [Healthcare Analytics](https://www.datakwery.com/techniques/healthcare-analytics/)
- [Marketing Analytics](https://www.datakwery.com/techniques/marketing/)
- [Sports Analytics](https://www.datakwery.com/techniques/sports-analytics/)
- [All Industries](https://www.datakwery.com/industries/)

## Browse by Platform

- [Coursera](https://www.datakwery.com/source/coursera/)
- [DataCamp](https://www.datakwery.com/source/datacamp/)
- [edX](https://www.datakwery.com/source/edx/)
- [Udacity](https://www.datakwery.com/source/udacity/)
- [All Sources](https://www.datakwery.com/source/)

## Browse by University

- [Harvard University](https://www.datakwery.com/universities/harvard-university/)
- [Stanford University](https://www.datakwery.com/universities/stanford-university/)
- [MIT](https://www.datakwery.com/universities/massachusetts-institute-of-technology/)
- [All Universities](https://www.datakwery.com/universities/)

## Pages

- [Homepage](https://www.datakwery.com/)
- [Learning Paths](https://www.datakwery.com/paths/)
- [Blog](https://www.datakwery.com/post/)
- [Search](https://www.datakwery.com/search/)
- [FAQ / Getting Started](https://www.datakwery.com/start/)
- [About](https://www.datakwery.com/about/)
- [Contact](https://www.datakwery.com/contact/)

## Optional

- [Privacy Policy](https://www.datakwery.com/privacy/)