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# Data Analysis in Tourism

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### Why do we need data/information?

• To improve knowledge
• To make informed decisions
• All of the above (correct)

...

False

### What is the definition of 1 bit of information?

<p>the amount of information received with an answer to a question with 2 possible outcomes</p> Signup and view all the answers

## Study Notes

### Aim of the Subject

• Understand the concept of data and its importance
• Learn how to analyze data to gain information, knowledge, and wisdom
• Focus on the basics of data analysis, with an upgrade in Data Analysis in Tourism 2

### Content

• Data: what, why, and how
• Data sources: primary and secondary
• Descriptive statistics
• Digital/web analytics

### Official Literature

• Argyrous, G.: Statistics for research, with guide to SPSS, SAGE, 2011. ISBN 978-1-84920-594-8
• Other sources given during the course

### Practical Literature

• Lecture notes
• Handouts (PPT)
• Web search/web sources, including Scholar.google.com

### System of Work

• Lectures: attendance not required, but academic responsibility is expected
• Exercises/practical part: attendance required, practical work expected
• Individual work

• Written exam: 50%
• Exercises: 50%

• 0-9: 1
• 10-19: 2
• 20-29: 3
• 30-39: 4
• 40-49: 5
• 50-60: 6
• 61-70: 7
• 71-80: 8
• 81-90: 9
• 91-100: 10

### Introduction

• Data is a presentation of a fact, concept, thing, idea, or something on a conventional way
• Convention comes from "con-venire", meaning "come together" and "to agree on something"
• Data is not the same as information, data has no added value, whereas information has added value and reduces uncertainty
• Information is defined as "data with added value"
• 1 bit is the amount of information received with an answer to a question with 2 possible outcomes
• Shannon's measure of information is defined as logarithm, with a unit of [bit]

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## Description

This course covers the basics of data analysis in the tourism industry, discussing what data is, why it's important, and how to analyze it. The course also touches on the process of turning data into information, knowledge, and wisdom.

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