Do not miss the opportunity to take this Postgraduate certificate with us and you will notice how every day you will be better able to help your students"

The main objectives of the Postgraduate certificate in Multivariate Analysis in Educational Research are to promote and strengthen the skills and abilities of teachers, taking into account the most current tools for teaching. This is done in such a way that the teachers are able to inspire their students with the motivation they need in order to continue their studies and to feel drawn to scientific research.

This Postgraduate certificate provides teachers with an overview of the fundamental knowledge in the field of teaching and the best way to guide and orient students in their day-to-day work.

This program stands out for its order and distribution of theoretical material, guided practical examples in all its modules, and motivational and explanatory videos. Allowing a simple and clear study on educational research.

In this way, the main methodologies in the field of educational research will be explained to the student, focusing on everything related to multivariate analysis, such as multiple linear regression. Binary logistic regression, nominal and ordinal logistic regression, Poisson regression or multidimensional scaling, among other aspects related to this subject.

A high-level program that will represent a process of improvement, not only professionally, but also personally. This challenge is one of TECH Global University social commitments: to help highly qualified professionals train and develop their personal, social and professionals skills throughout the course of their studies.

Not only does it cover the theoretical knowledge offered, but it also shows another way of studying and learning, one which is more organic, simpler and more efficient. TECH works to keep you motivated and to develop a passion for learning within you. And it will push you to think and develop critical thinking.

Expand your knowledge through this Postgraduate certificate in Multivariate Analysis in Educational Research. It will allow you to improve your professional profile and the way you deliver your lessons"

This Postgraduate certificate in Multivariate Analysis in Educational Research contains the most complete and up-to-date educational program on the market. The most important features of the program include:

• Case studies presented by experts in educational research
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional development
• New developments in Multivariate Analysis in Educational Research
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies in Multivariate Analysis in Educational Research
• 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

This Postgraduate certificate is the best investment you can make when selecting a refresher program to update your knowledge in Multivariate Analysis in Educational Research"

Its teaching staff includes professionals belonging to the field of innovation in education, who bring their work experience to this training, as well as renowned specialists from reference 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 training programmed to train 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 throughout the program. For this purpose, the professor will be assisted by an innovative interactive video system developed by recognized experts, with great experience in Multivariate Analysis in Educational Research.

If you want to train with the best teaching methodology and multimedia, this is your best option"

This Postgraduate certificate is 100% online, which will allow you to balance your professional work with your private life, while expanding your knowledge in this field"

The structure of the contents has been designed by the best professionals in the field of Educational Research, with extensive experience and recognized prestige in the profession, backed by the volume of cases reviewed and studied, and with extensive knowledge of new technologies applied to teaching.

We have the most complete and up-to-date program on the market. We offer you the best, at the best price"

Module 1. Multivariate Analysis

1.1. Multivariate Analysis

1.1.1. Introduction
1.1.2. What is Multivariate Analysis?
1.1.3. The Objectives of Multivariate Analysis
1.1.4. Classification of Multivariate Techniques

1.2. Multiple Linear Regression

1.2.1. Introduction
1.2.2. Concept of Multiple Linear Regression
1.2.3. Conditions for Multiple Linear Regression
1.2.4. Predictors to Generate the Best Model

1.3. Binary Logistic Regression

1.3.1. Introduction
1.3.2. Binary Logistic Regression Concept
1.3.3. Model Adjustment

 1.3.3.1. Model Fitting in R

1.3.4. Stages of the R
1.3.5. Example (Binary Logistic Regression)

1.4. Nominal and Ordinal Logistic Regression

1.4.1. Introduction
1.4.2. General review of Nominal Logistic Regression
1.4.3. Example (Nominal Logistic Regression)
1.4.4. General Review of Ordinal Logistic Regression
1.4.5. Example (Ordinal Logistic Regression)

1.5. Poisson Regression

1.5.1. Introduction
1.5.2. Poisson Concept
1.5.3. Distribution Functions
1.5.4. Poisson Regression with Counts

1.6. Log-Linear Models

1.6.1. Introduction
1.6.2. Log-Linear Models for Contingency Tables
1.6.3. Log-Linear Models for Contingency Tables
1.6.4. Example (Log-Linear Models for Contingency Tables)

1.7. Discriminant Analysis

1.7.1. Introduction
1.7.2. Concept of Discriminant Analysis
1.7.3. Classification with Two Groups

 1.7.3.1. Fisher Discriminant Function

1.7.4. Example (Discriminant Analysis)

1.8. Cluster Analysis

1.8.1. Introduction
1.8.2. Concept of K-means Clusters
1.8.3. Hierarchical Cluster Analysis Concept
1.8.4. Example (Hierarchical Cluster Analysis)

1.9. Multidimensional scaling

1.9.1. Introduction
1.9.2. Multidimensional Scaling: Basic Concepts
1.9.3. The Similarity Matrix
1.9.4. Classification of Scaling Techniques

1.10. Factor Analysis

1.10.1. Introduction
1.10.2. When is Factor Analysis Used?
1.10.3. Factor Analysis Methodology
1.10.4. Applications of Factor Analysis

A unique, key and decisive training experience to boost your professional development”