Description

You will learn in a 100% online environment with unlimited access to the virtual campus and library. Enroll now and get ready to achieve professional success!” 

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Computational fluid mechanics is a key discipline in engineering, since it allows the simulation and analysis of complex problems in different fields, such as aeronautics, automotive or energy industry. Nowadays, the demand for professionals highly qualified in CFD techniques for pre-design and analysis is increasing. Engineers must be constantly updating their knowledge and skills in this area in order to meet the challenges faced by today's industry.

The postgraduate certificate in Advanced Multivariate is the answer to this growing need. The program offers specialized qualification in Advanced Multivariate techniques, both in their theoretical aspect and in their practical application in computational fluid mechanics. Therefore, students will be able to delve into the knowledge and mastery of techniques such as correspondence analysis, discriminant analysis and cluster analysis, among others, which will allow them to improve their ability to analyze and understand multivariate data and make more informed decisions.

The program is developed in a 100% online format, which allows for greater flexibility in learning and adaptability to the needs of the students. In addition, it uses the Relearning methodology, which optimizes the learning experience and ensures effectiveness in the acquisition of knowledge. For all these reasons, this academic program is presented as a unique opportunity to acquire highly valued skills in the industry and improve the ability to solve complex problems in computational fluid mechanics.

You will master, thanks to this qualification, techniques such as correspondence analysis, discriminant analysis and cluster analysis to apply them in different fields of engineering” 

This postgraduate certificate in Advanced Multivariate contains the most complete and up-to-date program on the market. The most important features include:

  • The development of case studies presented by experts in Applied Statistics
  • The graphic, schematic and eminently practical contents with which it is conceived provide sporting and practical information on those disciplines that are essential for professional practice
  • Practical exercises where the self-assessment process can be carried out to improve learning
  • Its special emphasis on innovative methodologies
  • Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
  • Content that is accessible from any fixed or portable device with an Internet connection

You will master techniques such as correspondence analysis, discriminant analysis and cluster analysis to make informed decisions in different fields of engineering” 

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will be able to access the virtual campus 24 hours a day and enjoy a learning experience adapted to your schedule and needs"

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You will acquire skills that are highly valued in the industry and improve your ability to solve complex problems in computational fluid mechanics"

Objectives

The postgraduate certificate in Advanced Multivariate has been designed under the supervision of an expert teaching team to provide the most cutting-edge knowledge in the field. Therefore, the program includes topics such as factor analysis, principal component analysis, correspondence analysis, discriminant analysis and cluster analysis, which are essential for any engineer wishing to work in the field of data analysis and statistics. In addition, the program uses the Relearning methodology to optimize the learning experience and ensure effective knowledge acquisition.

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Achieve your professional goals and become a highly skilled expert in advanced multivariate techniques” 

General Objectives

  • Provide the graduate with the latest and most exhaustive information on Computational Statistics, which will help them to specialize in this field reaching the highest level of knowledge
  • Provide them with everything necessary to acquire a professional mastery of the main tools in this field through the resolution of use cases based on real and frequent situations in the industry

Specific Objectives

  • Study and determine the true dimension of multivariate information
  • Relate qualitative variables
  • Classify individuals into previously established groups based on multivariate information
  • Form groups of individuals with similar features
  • Acquire the conceptual and practical fundamentals to conduct multivariate qualitative data analysis
  • Apply specific software to solve each of these problems
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Take advantage of the opportunity to improve your knowledge and increase your value in the labor market with the postgraduate certificate in Advanced Multivariate” 

Postgraduate Certificate in Advanced Multivariate

Advanced multivariate is a branch of statistics that focuses on the analysis of multiple variables and how they relate to each other. It consists of a set of techniques and methods that allow the study and interpretation of a complex data set involving multiple variables. At TECH Technological University we have this specialized program designed to provide knowledge and skills in statistics that focuses on the analysis of multiple variables and their relationships, with the objective of understanding complex patterns and relationships in data. It is a useful tool in different fields of research and practice, allowing better decision making and a better understanding of the observed phenomena.

In advanced multivariate, advanced mathematical tools are used to analyze and relate different variables, understanding the joint behavior of the variables. The most common methods include multivariate regression models, principal component analysis, factor analysis, discriminant analysis, among others. Advanced multivariate analysis uses advanced mathematical tools to analyze and relate different variables, understanding the joint behavior of the variables. The most common methods include multivariate regression models, principal component analysis, factor analysis, discriminant analysis, among others.