Cosma / Communication / Content / Data

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment. — Alvin Toffler



University of Guelph McLaughlin Library (YouTube Channel)
Working with Data (University of Guelph McLaughlin Library)


data : factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation — Webster   See also OneLook


Roget’s II (, Merriam-Webster Thesaurus, Visuwords


Data are units of information, often numeric, that are collected through observation. In a more technical sense, data are a set of values of qualitative or quantitative variables about one or more persons or objects, while a datum (singular of data) is a single value of a single variable. Although the terms “data” and “information” are often used interchangeably, these terms have distinct meanings. Data are sometimes said to be transformed into information when they are viewed in context or in post-analysis. — Wikipedia

Data (Encyclopædia Britannica)


I never guess. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. — Sir Arthur Conan Doyle, The Sign of Four, A Scandal in Bohemia



TEDxTalks (YouTube Channel)
TEDx Program (Official Website)

Making Data Mean More Through Storytelling (Ben Wellington, TEDxBroadway)
Ideas about Data (TED, Official Website)



Big Data deals with ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. — Wikipedia

Simplilearn (YouTube Channel)
Big Data Career Guide (Nikita Duggal, Simplilearn)

Big Data: The Next Frontier for Innovation, Competition, and Productivity (James Manyika, et al., McKinsey & Company)
Big Data (IEEE)


Data science uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. — Wikipedia

Data Science Tutorial (Simplilearn, YouTube Playlist)
Big Data Career Guide (Nikita Duggal, Simplilearn)

What is Data Science? (UC Berkeley School of Information)




Intro to Data Science (Steve Brunton, YouTube Playlist)
The Fourth Paradigm (Tony Hey, et al., Microsoft)
Data-Driven Science and Engineering (Steven L. Brunton & J. Nathan Kutz)
Steve Brunton’s Lab: Data-Driven Dynamics and Control (Website)

Beginner’s Guide to the History of Data Science (Hannah Augur, Dataconomy)


WorldCat, Library of Congress, UPenn Online Books, Open Library




MERLOT: Multimedia Educational Resource for Learning and Online Teaching
OER Commons: Open Educational Resources


Analyzing/Presenting Data/Information Course (Edward Tufte)
Edward Tufte (YouTube Channel)
Edward Tufte (Official Website)

The Visual Display of Quantitative Information (Edward Tufte)
Envisioning Information (Edward Tufte)
Visual Explanations: Images and Quantities, Evidence and Narrative (Edward Tufte)
Beautiful Evidence (Edward Tufte)

Data Science: Visualization (HarvardX)
Data Science: Inference and Modeling (HarvardX)
Principles, Statistical and Computational Tools for Reproducible Data Science (HarvardX)

Data Science Certificate Program (HarvardX)



3 Data Careers Decoded and What It Means for You (Cheng Han Lee, Udacity)
Big Data Career Guide: A Comprehensive Playbook To Becoming A Big Data Engineer (Nikita Duggal, Simplilearn)


Special Interest Group on Management of Data (SIGMOD, ACM)
Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD, ACM)

Harvard Data Science Initiative (Harvard University)
Institute for Data, Systems & Society (Massachusetts Institute of Technology)



Data (




Art Made of Data Playlist (TED Talks)



These are links to pages about closely related subjects.

DIKW Content Hierarchy

Data, Information, Knowledge and Wisdom

See also Spreadsheet and Database



1.   The resources on this page are are organized by a classification scheme developed exclusively for Cosma.