New Technologies in the Enterprise play a crucial role in the development and competitiveness of organisations. From the use of natural language processing systems (NLP) from improving communication with customers to the application of data mining and machine learning techniques to extract valuable information, these technologies are revolutionising the way companies operate. The state of the art shows significant advances in areas such as parsing and semantic analysis, data mining and the use of tools such as Power BI and Tableau to visualise and analyse data. In this context, understanding and making the most of new technologies within the organisation is essential to keep pace with trends and achieve success in today’s business world.
Cross-cutting
Digital Skills
45 hours
New Technologies within the Company
Digital Skills
45 hours
Introduction
Objectives
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To increase the basis of natural language processors ((NLP).
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To find out the pairing and semantics to be used to derive the maximum benefits from NLPs.
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To use data mining and machine learning.
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To improve the analysis of data using Power BI.
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To explore further data visualisation with Tableau.
Table of Contents
TEACHING UNIT 1. AN INTRODUCTION TO NATURAL LANGUAGE PROCESSING (NLP)
1. What is NLP?
2. What does the NLP cover?
3. Examples of NLP usage
4. The Future of NLP
TEACHING UNIT 2. SYNTAX AND SEMANTICS FOR NLP
1. Principles of parsing
2. Context-free grammar
3. Parsers
4. Introductory aspects of semantic analysis
5. Semantic language for NLP
6. Pragmatic analysis
7.
TEACHING UNIT 3. DATA MINING AND MACHINE LEARNING
1. Introduction to data mining and machine learning
2. KDD process
3. Data Mining Models and Techniques
4. Areas of application
5. Text Mining and Web Mining
6. Data mining and marketing
TEACHING UNIT 4. POWER BI
1. Introduction to Power BIMuscle work
2. Installing Power BI
3. Data modelling
4. Data visualisation
5. Dashboards
6. Data sharing
TEACHING UNIT 5. GET THE MOST OUT OF YOUR DATA WITH TABLEAU
1. What is Tableau? Uses and applications
2. Tableau Server: Architecture and Components
3. Tableau Installation
4. Workspace and navigation
5. Data Connections in Tableau
6. Types of filters in Tableau
7. Data sorting, groups, hierarchies and sets
8. Tables and charts in Tableau
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