New Technologies in the Enterprise play a crucial role in the development and competitiveness of organizations. From the use of natural language processors (NLP) to improve communication with customers, to the application of data mining and machine learning techniques to obtain valuable information, these technologies are revolutionizing 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 visualize and analyze data. In this context, understanding and leveraging New Technologies in the Enterprise is essential to keep up with trends and achieve success in today’s business world.
Cross-cutting
Digital Skills
45 hours
New Technologies in the Company
Digital Skills
45 hours
Introduction
Objectives
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To raise the basis of natural language processors (NLP).
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To know the paring and semantics to be used to obtain the maximum benefits with NLPs.
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To use data mining and machine learning.
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To improve the study of data with Power BI.
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To deepen data visualization with Tableau.
Table of Contents
DIDACTIC UNIT 1. FORAY INTO NATURAL LANGUAGE PROCESSING (NLP)
1. What is NLP?
2. What does the NLP include?
3. Examples of NLP usage
4. Future of NLP
DIDACTIC UNIT 2. SYNTAX AND SEMANTICS FOR NLP
1. Principles of parsing
2. Context-free gramar
3. Parsers
4. Introductory aspects of semantic análisis
5. Semantic language for NLP
6. Pragmatic análisis
7.
DIDACTIC 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
DIDACTIC UNIT 4. POWER BI
1. Introduction to Power BIMuscle work
2. Installing Power BI
3. Data modeling
4. Data visualization
5. Dashboards
6. Data sharing
DIDACTIC UNIT 5. SQUEEZE 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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