A very complete training that will allow you to act as a professional in the area of research, using data and statistics as sources of information”

Data analysis is a process that involves examining, cleaning, and transforming data with the objective of highlighting useful information, to suggest conclusions and for support in decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques in a variety of names, in different business, science, and social science domains. Data is sorted and analyzed to probe questions, evince conjectures, or test the invalidity of theories. The purpose of analyzing and interpreting data is to obtain usable and useful information.

Students will work in Scientific Methodology by learning how to manage the different databases and by conducting a structured bibliographic search, and they will learn how to correctly obtain information, synthesize and disseminate it through the different existing platforms (written, digital, etc).

Based on theoretical and practical issues, a new and changing digital environment will be analyzed, which is increasingly incorporated into the reality of healthcare. Such a reality requires certain knowledge and tools to be able to manage the wide range of information or, what is the same, to learn which methodologies are more efficient and allow for efficient interaction with social networks, digital environments, bibliographic searches or any other requirement.

The aim is to provide nursing research students with the necessary tools to understand how basic statistics work and how they should be applied to obtain data with descriptive, analytical and predictive value. For this purpose, we will delve deeper into the concepts of descriptive, analytical and inferential statistics.

Finally, the aim is also to train students in basic statistical techniques, which will allow them to correctly and methodologically develop their own projects, taking into account the different existing errors (random and simple) and the interferences that can affect research quality, and knowing how to adapt them and minimize their impact on the clinical scenario under study. 

A complete process for professional growth that will allow you to include among your capabilities the skills of a trained researcher"

This postgraduate diploma in Research in Nursing Sciences: Data Analysis and Processing. Technology and Statistics offers you the characteristics of a high-level scientific, educational and technological course.  These are some of its most notable features: 

• The latest technology in online teaching software  
• A highly visual teaching system, supported by graphic and schematic contents that are easy to assimilate and understand   
• Practical cases presented by practising experts  
• State-of-the-art interactive video systems  
• Teaching supported by telepractice   
• Continuous updating and recycling systems  
• Autonomous learning: full compatibility with other occupations  
• Practical exercises for self-evaluation and learning verification  
• Support groups and educational synergies: questions to the expert, debate and knowledge forums  
• Communication with the teacher and individual reflection work  
• Availability of content from any device, fixed or portable, with an Internet connection  
• Complementary documentation banks permanently available, even after the course  

A unique opportunity to gain access to the most interesting databases and the most powerful educational community in the online teaching market.

The teaching staff includes professionals from the field of nursing, who bring their experience to this training program, as well as renowned specialists from leading communities 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 an immersive training experience designed to train for real-life situations.

This program is designed around Problem-Based Learning, where the nurse must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts in Clinical Nutrition Pediatrics with extensive experience. 

Increase your decision-making confidence by updating your knowledge with this University Expert course"

Add to your CV the ability to participate in the field of research and position yourself as a competitive and interesting professional for any company"

This comprehensive postgraduate diploma allows professionals to develop skills and apply theoretical knowledge in real research projects in nursing practice, from the research question/hypothesis to the publication of their results. 

This postgraduate diploma offers you essential support to reach your academic objectives, with a teaching system created to facilitate and increase your learning”

General Objectives

• Obtain the necessary tools to execute the research idea
• Learn how to manage the scientific method that will enable you to become researchers and knowledge producers
• Use different research models depending on the object of study
• Perform bibliographic searches, accessing the latest research results with critical and analytical skills

Specific Objectives

Module 1. Data Analysis and Management 

• Acquire an expert command of statistical software: EXCEL, SPSS and software popular among Windows users, used to perform data capture and analysis to create tables and graphs with complex data 
• Learn sampling techniques, clearly distinguishing between the population and the sample 
• Elaborate and design tables, a set of strategies and procedures aimed at selecting a sample of a target study population that meets a series of statistically desirable characteristics 
• Identify the difference between variables: discrete variable and continuous variables 
• Create surveys to obtain research data 

Module 2. Information and Communication Technologies 

• Gain experience in the different existing digital resources for obtaining information and bibliography management 
• In-depth analysis of scientific information searches through digital media 
• Perform bibliographic searches based on the methodology learned 
• Effective dissemination of synthesized evidence 
• Manage digital tools for market research as a basis for analysis in social networks 
• Develop Big Data strategies by designing a plan for contact and communication with patients and healthcare professionals 
• Make decisions in the context of new marketing strategies based on digital media 
• Manage new telematic models and analyze possible solutions in today's nursing world 

Module 3. Statistics 

• Delve deeper into the fundamentals of statistical thinking and basic statistical techniques
• Understand the role of statistical tools in the different phases of clinical research and in interpreting scientific publications
• Provide the necessary knowledge to select the most appropriate statistical techniques
• Interpret P values in statistics and their importance in clinical practice
• In-depth understanding of random and systematic errors and statistical interferences
• Examine the concept of triangulation and its usefulness
  
  

Realistic objectives, but with a high educational impact, in a very high-level postgraduate diploma”