Comprehensive yet focused; this program will provide you with the specific knowledge IT professionals need to compete among the best in the sector” 

The information handled by companies or entities implies having information that, in many cases, requires the handling of personal data. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to personal data processing and on the free movement of such data and repealing Directive 95/46/EC (General Data Protection Regulation), poses compliance challenges that must be observed at all stages of the data lifecycle, just as we discuss the lifecycle of any project.

Knowing the regulatory context in which the data driven economy is framed will help to focus the work of data analytics professionals so that they can have assessment criteria to identify the obligations imposed by the regulations; the rights of individuals, in relation with personal data processing and detect the inherent and residual risks of the project to be addressed, not only from compliance with legal aspects, but also from the design and implementation of technical and security requirements that must be observed.

Any project must ensure the legitimacy of massive personal data processing, validating both the data collected at source and the data derived or that may be inferred from them; there are legal peculiarities associated with profile generation and behavior monitoring, the exercise of certain rights by individuals and decision making based solely on automated data processing.

Finally, it should be noted that data protection is not only limited to regulatory compliance. Proper implementation of data protection principles in the project will also contribute to benefits related to ensuring that data analysts, as well as other fields involved such as marketing and innovation departments, have quality data that respect data retention and retention periods.

The main objective is to enable students to apply the knowledge acquired in this course to the real world, in a work environment that reproduces the conditions that may be encountered in the future, in a rigorous and realistic manner. 

With the best developed distance learning systems, this Postgraduate certificate will allow you to learn in a contextual way, learning the practical skills that you need" 

This Postgraduate certificate in Corporate Data Processing and Security contains the most complete and up-to-date educational program on the market. The most important features include:

• Practical cases presented by experts in the field of Corporate Data Processing and Security
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used 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

A complete and cutting-edge program that will allow you to acquire the knowledge you need to work in this sector in a progressive and comprehensive manner" 

The program’s teaching staff includes professionals from sector who contribute their work experience to this training 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. 

An intensive professional growth program that will allow you to intervene in a sector with a growing demand for professionals"

A unique, key, and decisive specialization experience to boost your professional development"

The syllabus has been designed based on educational efficiency, carefully selecting the contents to offer a comprehensive course, which includes all the fields of study that are essential to achieve real knowledge of the subject. Including the latest updates and aspects of the field. A curriculum has therefore been established with modules that offer a broad perspective of Corporate Data Processing and Security . From first module, students will see their knowledge expanding, which will enable them to develop professionally, knowing that they can count on the support of a team of experts. 

Succeed with the best and acquire the knowledge and skills you need to enter the field of Corporate Data Processing and Security ” 

Module 1. Data Types and Data Life Cycle

1.1. Statistics 

1.1.1. Statistics: Descriptive Statistics, Statistical Inferences 
1.1.2. Population, Sample, Individual 
1.1.3. Variables: Definition, Measurement Scales 

1.2. Types of Data Statistics

1.2.1. According to Type

1.2.1.1. Quantitative: Continuous Data and Discrete Data
1.2.1.2. Qualitative: Binomial Data, Nominal Data and Ordinal Data

1.2.2. According to their Shape

1.2.2.1. Numeric
1.2.2.2. Text
1.2.2.3. Logical 

1.2.3. According to its Source

1.2.3.1. Primary
1.2.3.2. Secondary 

1.3. Life Cycle of Data

1.3.1. Stages of the Cycle
1.3.2. Milestones of the Cycle
1.3.3. FAIR Principles 

1.4. Initial Stages of the Cycle

1.4.1. Definition of Goals
1.4.2. Determination of Resource Requirements
1.4.3. Gantt Chart
1.4.4. Data Structure 

1.5. Data Collection 

1.5.1. Methodology of Data Collection 
1.5.2. Data Collection Tools 
1.5.3. Data Collection Channels 

1.6. Data Cleaning

1.6.1. Phases of Data Cleansing 
1.6.2. Data Quality 
1.6.3. Data Manipulation (with R) 

1.7. Data Analysis, Interpretation and Evaluation of Results 

1.7.1. Statistical Measures 
1.7.2. Relationship Indices 
1.7.3. Data Mining 

1.8. Data Warehouse 

1.8.1. Elements of a Data Warehouse 
1.8.2. Design 
1.8.3. Aspects to Consider 

1.9. Data Availability 

1.9.1. Access 
1.9.2. Uses 
1.9.3. Security

A high-quality Postgraduate certificate that will allow students to advance quickly and steadily in knowledge acquisition, with the scientific rigor of a global quality teaching"