Online Employee Scheduling That Frees Your Time.

Data Products makes it easy to build online employee work schedules and share them with your team instantly, anywhere.
Services, Software and Solution Providers:

Data Products – Data science consultancy providing data literacy services.

TecHive – Member organization teaching how to connect Data Literacy to personalized Data Narratives for leadership advancement.

SAS – Literacy Essentials

Data Yap – Data-centric ecosystem for innovative ideas, unwavering community spirit, great minds & partners, to network and elevate data in all dimensions into tangible business value.

Ambient Intelligence —talent identification machine learning algorithm.

Collibra University – training, learning paths and certification for data governance and intelligence.

Z. Gemignani and C. Gemignani, “Data Fluency: Empowering Your Organization With Effective Data Communication,” Juice Analytics

Gartner Consulting – advisory & solution services, design & delivery data literacy programmes

“Data Literacy for Everyone,” Qlik.

“Project-Based Learning, Data Literacy and Online Resources,” and “Why you should care about data literacy” SAS Institute

“Data Learning Solutions for Your Workforce,” Tuva

The Data Lodge – data literacy advisory services, bootcamps and community

Data To the People – Databilities competency framework, assessments, benchmarks and capability development.

University and Academic Offerings, Case Studies (many early developments in data and information literacy are emerging from the education sector):

Carnegie Math Pathways,” The Carnegie Foundation for the Advancement of Teaching.

Strategies and Best Practices for Data Literacy Education,” Dalhousie University.

Data Literacy and Data Visualization,” Ohio State University.

Developing Data Literate Students” University of Georgia.

Developing Data Literacy Programs: Working with Faculty, Graduate Students and Undergraduates,” Bulletin of the Association for Information Science and Technology

Data Business Diploma and MSc – University College Cork / Irish Management Institute

Data Literacy: A User’s Guide” D. Herzog,

Additional Resources:

DataLiteracy.com – online resources, self-paced online training and onsite training

The Data Literacy Project – A global community dedicated to creating a data-literate world. Supported by organizations including Accenture, The Chartered Institute of Marketing, Cognizant, Data To the People, Experian, Qlik, Pluralsight

The Ultimate Data Literacy Cheat Sheet,” ChartMogul.

DataKind — brings high-impact organizations together with data scientists to use data science in the service of humanity

Data-Pop Alliance — a global data coalition created by the Harvard Humanitarian Initiative, MIT Media Lab and Overseas Development Institute that brings together researchers, experts, practitioners and activists to promote a people-centered big data revolution

Data Value Map – a discursive template for building shared understanding around data initiatives.

Data Science Central — an open community of and for data scientists

KDnuggets — site and resources for AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning

Data Resources
Below we have listed our Data Dictionary and Data resources to help and assist you.

Data Dictionary

Resources

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

B

C

D

Data discovery

Automatically finding, visualizing and narrating important findings within datasets (such as correlations, exceptions, clusters, links and predictions) that are relevant to users without requiring them to build models or write algorithms.

Data hub

Ingesting, integrating and provisioning data between and among a range of producing and consuming applications, data stores. A balance of collecting and connecting to data.

Data lake

Storing data in its native format for exploration, offering an unrefined view of data for highly skilled data scientists and analysts.

Data literacy

is formally called out as a new core competency as part of a clear commitment to the organization and leadership valuing “information as a strategic asset.” Training programs (online and/or in-person; internal and/or external) are available and supported across all required levels of proficiency.

Data mart

A subset of a data warehouse oriented to a specific business function, group or purpose.

Data quality

A discipline ensuring that data is “fit for use” in business processes; includes cleansing, matching, profiling and enrichment.

Data storytelling

A combination of data visualization, narrative (the plotline) and context (the surrounding situation/scenario).

Data visualization

Use of dashboards (e.g., dials, gauges, charts and maps), infographics, flow charts, decision trees, slide show/series.

E

F

G

H

I

J

K

L

M

Machine learning

ML algorithms are composed of many technologies (such as deep learning, neural networks and NLP), used in unsupervised and supervised learning, that operate guided by lessons from existing information inputs.

Mean

The average (like the average grades of a set of students’ scores in a classroom).

Median

The middle number of a set of numbers arranged in order. If no middle, add the two central numbers and divide by two.

Mode

The number that occurs most often in a set of numbers.

N

Natural language processing

NLP is a way for computers to analyze, understand and derive meaning from human language in a smart and useful way. NLP is a subset of artificial intelligence (AI).

O

P

Predictive analytics

Addresses the question of “what is likely to happen?” Relying on techniques such as predictive modeling, regression analysis, forecasting, multivariate statistics and pattern matching.

Prescriptive analytics

Addresses the question of “what should be done?“ Relying on techniques such as graph analysis, simulation, complex-event processing, recommendation engines, heuristics, neural networks and machine learning.

Q

R

S

Standard deviation

A measure of how spread out the numbers are from the center of a set of numbers.

T

U

V

W

X

Y

Z

Services, Software and Solution Providers:

Data Products – Data science consultancy providing data literacy services.

TecHive – Member organization teaching how to connect Data Literacy to personalized Data Narratives for leadership advancement.

SAS – Literacy Essentials

Data Yap – Data-centric ecosystem for innovative ideas, unwavering community spirit, great minds & partners, to network and elevate data in all dimensions into tangible business value.

Ambient Intelligence —talent identification machine learning algorithm.

Collibra University – training, learning paths and certification for data governance and intelligence.

Z. Gemignani and C. Gemignani, “Data Fluency: Empowering Your Organization With Effective Data Communication,” Juice Analytics

Gartner Consulting – advisory & solution services, design & delivery data literacy programmes

Data Literacy for Everyone,” Qlik.

“Project-Based Learning, Data Literacy and Online Resources,” and “Why you should care about data literacy” SAS Institute

Data Learning Solutions for Your Workforce,” Tuva

The Data Lodge – data literacy advisory services, bootcamps and community

Data To the People – Databilities competency framework, assessments, benchmarks and capability development.

University and Academic Offerings, Case Studies (many early developments in data and information literacy are emerging from the education sector):

Carnegie Math Pathways,” The Carnegie Foundation for the Advancement of Teaching.

Strategies and Best Practices for Data Literacy Education,” Dalhousie University.

Data Literacy and Data Visualization,” Ohio State University.

Developing Data Literate Students” University of Georgia.

Developing Data Literacy Programs: Working with Faculty, Graduate Students and Undergraduates,” Bulletin of the Association for Information Science and Technology

Data Business Diploma and MSc – University College Cork / Irish Management Institute

Data Literacy: A User’s Guide” D. Herzog,

Additional Resources:

DataLiteracy.com – online resources, self-paced online training and onsite training

The Data Literacy Project – A global community dedicated to creating a data-literate world. Supported by organizations including Accenture, The Chartered Institute of Marketing, Cognizant, Data To the People, Experian, Qlik, Pluralsight

The Ultimate Data Literacy Cheat Sheet,” ChartMogul.

DataKind — brings high-impact organizations together with data scientists to use data science in the service of humanity

Data-Pop Alliance — a global data coalition created by the Harvard Humanitarian Initiative, MIT Media Lab and Overseas Development Institute that brings together researchers, experts, practitioners and activists to promote a people-centered big data revolution

Data Value Map – a discursive template for building shared understanding around data initiatives.

Data Science Central — an open community of and for data scientists

KDnuggets — site and resources for AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning