Data Science and Data Citizenship

Data

Facts that can be analyzed or used in an effort to gain knowledge or make decisions; information

How can data be collected

Through various means such a systems, internet, devices and sensors, and manually captured

Why is data important

Helps understand customer trends, better and faster decision making, creation of a data product, improved operations and processes etc.

What are the data classifications

Open, public and private data

Open data

Data that can be freely used, shared and built-on by anyone, anywhere, for any purpose

Types of open data

Cultural, science, finance, statistics, weather, environment and charity

Benefits of open data

• Increased government effectiveness

• Ability to spot global patterns

• Availability and access

• Improved public services

• Facilitates innovation

Public data

Data that anyone can access, but there may be restrictions in place about its use and sharing

Private data

Data that a limited set of people can access and use

Examples of open data

UNICEF, NHS Scotland, Scottish Government open data, Just Eat Cycles

Examples of public data

IMDB datasets, Twitter public, museum, amazon reviews

Examples of private data

Contact details, medical records, school attendance, banking records

What is a graph

A visual representation of data

Where can graphs be found

In the news or newspapers, open data sources and reports, workplace reports, dashboards etc.

What are the 3 components that make a graph

Data, scales and coordinates, and annotations

Common graphic types

Bar charts, histograms, line graphs, pie charts, scatter plots and heat maps

Complex graphic types

distributions and densities, more proportions, more relationships, maps etc.

Data Science

An area of study that uses math and statistics combined with computing science to find answers and solve problems in business and society.