Launch the main phases in data science processes: graphical representation for exploratory analysis”

This Postgraduate certificate will analyze the theoretical bases that help computer engineers to make the most appropriate graphical representations when using Data Science as an analytical technique. Therefore, special emphasis will be placed on the correct way to represent and interpret data in order to identify past errors or inefficient tactics to anticipate the future.

The entire program is composed of a series of case studies that will favor the learning of students who seek to further advance their professional careers and challenge themselves to achieve excellence. Consequently, it will present a series of cases that will illustrate new technologies for data visualization, such as intelligent systems or reality visualization systems.  

All this will be feasible thanks to a 100% online program, which adapts to the daily needs of its students. You will only need a device with an Internet connection to start developing a complete professional profile with international projection.

All the subjects and areas of knowledge have been compiled in a complete and absolutely up to date syllabus, in order to bring the student to the highest theoretical and practical level"

This Postgraduate certificate in Data Analysis Graphical Representation in Data Science contains the most complete and up to date academic program on the market. 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 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

Learn statistical, quantitative and technical knowledge in real situations through 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.  

Tackle the different types of data, the most useful representations and the different data representation programs"

Analyze the different software tools for graphing and exploratory data analysis"

The program modules offer a theoretical and practical perspective to define the correct way to represent and interpret data, which will enable detecting past errors or deficient work methodologies. That way, students will be prepared to face new challenges and propose plans for the future. Consequently, the objectives of the program to train professional, integral and prestigious engineers will be fulfilled.

You can become the agent of change companies need by developing forward looking plans with Data Science”

Module 1. Data Analysis Graphical Representation

1.1. Exploratory Analysis  

1.1.1. Representation for Information Analysis 
1.1.2. The Value of Graphical Representation 
1.1.3. New Paradigms of Graphical Representation 

1.2. Optimization for Data Science 

1.2.1. Color Range and Design 
1.2.2. Gestalt in Graphic Representation 
1.2.3. Errors to Avoid and Advice  

1.3. Basic Data Sources 

1.3.1. For Quality Representation 
1.3.2. For Quantity Representation 
1.3.3. For Time Representation 

1.4. Complex Data Sources 

1.4.1. Files, Lists and Databases 
1.4.2. Open Data 
1.4.3. Continuous Data Generation 

1.5. Types of Graphs  

1.5.1. Basic Representations 
1.5.2. Block Representation 
1.5.3. Representation for Dispersion Analysis     
1.5.4. Circular Representations 
1.5.5. Bubble Representations 
1.5.6. Geographical Representations 

1.6. Types of Visualization  

1.6.1. Comparative and Relational 
1.6.2. Distribution 
1.6.3. Hierarchical 

1.7. Report Design with Graphic Representation 

1.7.1. Application of Graphs in Marketing Reports 
1.7.2. Using Graphs in Scorecards and KPIs 
1.7.3. Application of Graphs in Strategic Plans 
1.7.4. Other Uses: Science, Health, Business 

1.8. Graphic Narration 

1.8.1. Graphic Narration 
1.8.2. Evolution 
1.8.3. Uses 

1.9. Tools Oriented Towards Visualization  

1.9.1. Advanced Tools 
1.9.2. Online Software 
1.9.3. Open Source 

1.10. New Technologies in Data Visualization  

1.10.1. Systems for Virtualization of Reality 
1.10.2. Reality Enhancement and Improvement Systems 
1.10.3. Intelligent Systems

Successful completion of this program will result in job and career enhancement for computer engineers”