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Cross-cutting

New Technologies in Business

Digital Skills 45 hours

Introduction

The formation of New Technologies in Business play a crucial role in the development and competitiveness of organisations. From the use of natural language processors (PLN) from improving communication with customers to the application of techniques such as data mining and machine learning By providing valuable insights, these technologies are revolutionising the way businesses operate. The current state of the art shows significant advances in areas such as analytics syntactic and semantic, the 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 in business is essential to keeping up with trends and achieve success in today’s business world.

Objectives

  • To set out the fundamentals of the processors natural language processing (NLP).

  • To know the syntax and semantics to use in order to maximise the benefits of PLN.

  • Use data mining or data mining and machine learning.

  • Improving data analysis with Power BI and the display of these using Tableau.

Table of Contents

TEACHING UNIT 1. AN INTRODUCTION TO NATURAL LANGUAGE PROCESSORS (NLP)

  1. What is PLN?
  2. What does the PLN include?
  3. Examples of how to use PLN
  4. The Future of the PLN

TEACHING UNIT 2. SYNTAX AND SEMANTICS FOR PLN

  1. Principles of syntactic analysis
  2. Context-free grammar
  3. Syntactic analysers (Parsers)
  4. An introduction to semantic analysis
  5. Semantic language for NLP
  6. Pragmatic analysis

TEACHING UNIT 3. DATA MINING AND MACHINE LEARNING

  1. An 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 BI
  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 organisation, groups, hierarchies and sets
  8. Tables and charts in Tableau

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