All | (Big) Data Analytics | Algorithms | Artificial Intelligence | Bayesian Networks | Business & Strategy | Computer Vision | Data Journalism | Data Mining | Data Scientists | Data Structures | Data Visualization | General Data Science | Hadoop, MapReduce | Information Retrieval | Linear Regression | Linguistic | Machine Learning, Predictive Analytics | Math | Metadata | Natural Language Processing | Network Science | Other Sites with Free Data Science Resources | Probability | Python | R | Singularity/Transhumanism | Statistics | Text Mining

Building Data Science Teams. What data scientists add to an organization, how they fit in, and how to hire and build effective data science teamsComputer Vision: Models, Learning, and Inference. A principled model-based approach to computer vision that unifies disparate algorithms, approaches, and topics under the guiding principles of probabilistic models, learning, and efficient inference algorithms

Data Mining with Weka. A collection of machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from your own Java code

Interactive Data Visualization for the Web. Visualizing data is the fastest way to communicate it to others

Data Mining: Concepts and Techniques. Concepts and techniques of data mining

Data Science with MIT Open Courseware. A choke-full of data science courses, from data mining to data visualization to social networks

A Practitioner's Guide to Generalized Linear Models. Written for the practising actuary who would like to understand generalized linear models (GLMs) and use them to analyze insurance data

Harvard Data Science Course. A fantastic series of lectures pertaining to Data Science

Big Data Analytics with Twitter. Taught in close collaboration with Twitter, focuses on the tools and algorithms for data analysis as applied to Twitter's data

Collaborative Statistics. An introductory statistics course for students majoring in fields other than engineering or math. The only prerequisite is intermediate algebra

Data Discovery for Dummies. Data discovery, what it does and how it makes dealing with big data simpler

Introduction to Data Science. A series of data problems of increasing complexity to illustrate the skills and capabilities needed by data scientists

Time Series Databases: New Ways to Store and Access Data. A new world of time series data calls for new approaches and new tools to store and access it

The Promise and Peril of Big Data. New challenges and questions facing big data: from ethics to scientific methodologies to evolution of knowledge

Data-Intensive Text Processing with MapReduce. Scalable approaches to processing large amounts of text with MapReduce

Fundamental Numerical Methods and Data Analysis. A wide range of courses that discuss numerical methods used in science

Advanced Data Analysis from an Elementary Point of View. Modern methods of data analysis and the considerations which go into choosing the right method for the job at hand

The Wealth of Networks: How Social Production Transforms Markets and Freedom. How information, knowledge and culture are produced and exchanged in our society

simpleR - Using R for Introductory Statistics. How to use R while learning introductory statistics

OpenIntro Statistics. Foundation of statistical thinking and methods

Knowledge-Oriented Applications in Data Mining. In-depth description of novel mining algorithms and many useful applications

Concepts and Applications of Inferential Statistics. A full-length and occasionally interactive statistics textbook.

Predictive Analytics for Dummies. Providing decision makers and analysts with the capability to make accurate predictions about future events based on complex statistical algorithms

New Fundamental Technologies in Data Mining. In-depth description of novel mining algorithms and many useful applications