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
45 hours
Digital Skills
New Technologies in the Company
The New Technologies in the Company course is aimed at professionals and entrepreneurs who wish to acquire practical and up-to-date skills in the use of emerging technologies. It is also suitable for students and people interested in the business field, who wish to understand how these technologies are transforming corporate processes and strategies.
45 hours
Digital Skills
Course 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.
What does it prepare you for?
The New Technologies in the Company course prepares you to face the challenges of today's business environment and make the most of the opportunities offered by emerging technologies. Through the study of topics such as natural language processing, data mining and the use of data visualization tools, you will develop practical and strategic skills that will allow you to improve communication with customers.
Teaching units
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