Analyze the most appropriate techniques for each data set and examine the results obtained” 

The postgraduate diploma has been designed to provide computer engineers with all the knowledge they need to analyze company data. This is essential for the profile of any professional working in this field, since the volume of information increases every year, making analysis and interpretation more difficult.  

Therefore, it is necessary to be trained in specialized knowledge to adequately manage data, focusing at all times on typology and life cycle and practical approaches using the available resources. In data science, knowledge of statistics is indispensable, hence the importance placed on the module that covers it.

At the end of the program, computer engineers will develop a critical attitude toward the strategies applied, being able to discern in each case the most appropriate solution and explain in a reasoned way the results obtained in the different metrics.

All of the above is complemented by a 100% online program, which can be studied at our students' convenience, wherever and whenever it suits them. All you need is a device with Internet access to take your career one step further. A modality in accord with the current times and all the guarantees to position engineers in a highly demanded field. 

Generate hypotheses to solve practical cases and validate them using metrics in a critical and reasoned manner” 

This postgraduate diploma in Exploratory Data Analysis contains the most comprehensive and up-to-date academic program in the university landscape. The most important features of the program include:

• Practical cases studies are presented by experts in Engineering in data analysis
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the 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

Analyze the different software tools for graphic and exploratory data analysis with a 100% online program” 

The program’s teaching staff includes professionals from the 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 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 during the academic year. For this purpose, the student will be assisted by an innovative, interactive video system created by renowned and experienced experts.

Produce relevant and effective information to aid in decision-making while developing critical thinking skills"

Develop skills to solve practical cases using data science techniques"

To enable computer engineers to develop in their work environments, a series of general and specific objectives have been devised to guide and support their learning during this Postgraduate Diploma. This will reinforce their professional knowledge and development regarding the fundamental aspects involved in selecting the different graphing and Exploratory Data Analysis software tools. 

Develop the theoretical basis for selecting the most appropriate graphical representations to implement data science techniques” 

General Objectives

• Analyze the benefits of applying data analytic techniques in every company department  
• Develop the basis for understanding the needs and applications of each department  
• Generate specialized knowledge to select the right tool  
• Propose techniques and objectives in order to be as productive as possible according to the department

Specific Objectives

Module 1. Data Management, Data Manipulation and Information Management for Data Science

• Perform data analyses 
• Unify diverse data: Achieving consistency of information 
• Produce relevant, effective information to aid decision-making 
• Determine the best practices for data management according to typology and use 
• Establish data access and reuse policies 
• Ensure security and availability: information availability, integrity and confidentiality 
• Examine data management tools using programming languages

Module 2. Graphical Representation of Data Analysis 

• Generate specialized knowledge in data analysis and representation 
• Examine the different types of grouped data 
• Establish the most-used graphic representations in different fields 
• Determine the design principles in data visualization 
• Introduce graphic narrative as a tool 
• Analyze the different software tools for graphing and exploratory data analysis 

Module 3. Data Science Tools

• Develop the skills to convert data into information from which knowledge can be extracted 
• Determine the main features of a dataset, its structure, components and the implications of its distribution in the modeling 
• Support decision-making by performing comprehensive data analysis in advance 
• Develop skills to solve practical cases using data science techniques 
• Establish the most appropriate general tools and methods for modeling each Dataset based on the preprocessing performed 
• Evaluate the results in an analytical way, understanding the impact of the chosen strategy on the various metrics 
• Demonstrate critical analysis of the results obtained after applying preprocessing or modeling methods 

Analyze the most appropriate techniques for each data set and examine the results obtained”