Welcome Introduction to Data Visualisation, In this course, you will gain the foundation needed to learn about specialised tools for transforming data into meaningful and comprehensible information through views stunning. You’ll learn the basics of data science and the tools needed to tackle today’s challenges, ranging from the basics to the most advanced tools such as Tableau and Power BI, which are two tools for data visualisation industry-leading tools used to analyse and present information in a visual and understandable way. Both tools are used by professionals across a range of sectors, owing to its ability to convert complex data into charts, tables and interactive visualisations.
Sector-specific
Big Data and Business Intelligence Development
30 hours
Introduction to Data Visualisation
Big Data and Business Intelligence Development
30 hours
Introduction
Objectives
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Understanding the concept fundamental data visualisation and its importance across various industries.
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Get to know a range of tools and technologies data visualisation.
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Mastering the basic principles of visualisation, including charts, colours y design.
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Explore Tableau and its applications in creating dynamic visualisations.
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To gain a deeper understanding of Tableau Server’s capabilities and its architecture.
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Learning the installation y navigation in Tableau, creating tables and charts.
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Introduction to Power BI and its role in data visualisation.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO DATA VISUALISATION
1. What is data visualisation?
2. The importance of data visualisation and the tools involved
3. Data visualisation: Basic principles
TEACHING UNIT 2. TABLEAU
1. What is Tableau? Uses and applications
2. Tableau Server: Architecture and Components
3. Installing Tableau
4. Workspace and navigation
5. Data connections in Tableau
6. Types of filters in Tableau
7. Data organisation, groups, hierarchies and sets
8. Tables and charts in Tableau
TEACHING UNIT 3. POWER BI
1. Introduction to Power BI
2. Installing Power BI
3. Data modelling
4. Data visualisation
5. Dashboards
6. Data sharing
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