A thorough and complete review of the different tools that the professional working with data must master"

This postgraduate diploma is a comprehensive compilation of advances, novelties and work tools that will take students through the most intensive path, to prepare them for the current star profile.
A complete study of the different techniques and tools you need to work with data, with a special focus on data visualization.

With all the new tools and the different techniques you can use to visualize them and how to use them properly. With a vision focused on practice that will turn theory into skills in a real way. 
Throughout this training the student will learn everything necessary to analyze data, with the development of the different existing techniques. In addition, TECH will show how to capture the information and how to store it properly in each case. 

Be trained by the best with most innovative educational system and the security and solvency of the Improvement online university right now  

All aspects necessary to use data visualization techniques, in a high quality program"

This postgraduate diploma in Visualization Tools and Techniques contains the most complete and up-to-date educational program on the market. The most important features of the program include: 

• Practical case studies presented by experts 
• 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 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 

A complete update that will provide you with the working capacity of a specialist in the field” 

The program’s teaching staff includes professionals from sector who contribute their work experience to this program 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 professional will be assisted by an innovative interactive video system created by renowned and experienced experts..    

This program has the best teaching material available online or downloadable, to facilitate your study and effort management"

A very complete training, created with a strong focus on quality and bringing our students to the highest level of skill"

The objectives of this postgraduate diploma were established with a basis on realistic and necessary goals for a professional in the sector. Gradually, students will be able to verify their learning and progress in the mastery of the contents so that, at the end, they will have finished a complete process of professional growth. 

Realistic, achievable and high-impact goals for your professional training"

General Objectives

• Understand information sources and the value they bring to the creation of new innovative business models 
• Know and use statistical tools to solve problems in the field of Big Data 
• Know how the combination of all the data flowing through the Internet can be combined to define new strategies applicable to different industrial, business, financial sectors, etc., in different areas, such as energy, health, economy or communication 
• Learn the different techniques for the analysis and exploitation of data, visualization and interaction techniques, all closely linked to the role of the Data Scientist and their contribution in the
• anticipation and vision for the execution of innovation processes that allow managing changes efficiently in organizations 
• Assimilate concepts, techniques, methodologies and knowledge of languages that will be useful to apply them in big data mining 
• Delve deep into Artificial Intelligence algorithms and techniques such as decision trees, classification and association rules, neural networks or Deep Learning 
• Apply data mining tools to solve learning problems, interpreting the results obtained, as well as the ability to design an intelligent system capable of inferring new knowledge 
• Get to know databases, from traditional to unstructured, where data requiring other types of processing, such as audio or video streams, will be stored 
• Learn the importance of having cloud computing for processing large volumes of data and how all this Big Data can be ingested into tools that allow us to obtain and infer patterns in seemingly unrelated data 
• Delve deep into the Hadoop framework and its file system HDFS (Hadoop Distributed File System), which provides systems and techniques for distributed storage and processing of large amounts of data 
• Know how to apply the tools for parallel processing: MapReduce, devised by Google in 2004, or Spark, now under the auspices of the Apache Software Foundation 
• Understand how high-performance, low-latency platforms work for real-time manipulation of data sources that need to respond to service demands operating in the millisecond range 
  Learn how to use IBM's Many Eyes tool that allows you to create different types of data visualizations such as infographics, maps, word count visualization, bar charts, etc.
• Obtain capabilities in three popular libraries such as Google Charts, JQuery plug-ins for visualizations and Data-Driven, also known as D3, one of the most powerful libraries currently on the market 
• Know in depth another set of tools that are widely used in various industries such as Matlab, Tableau, SAS Visual Analytics or Microsoft Power BI, where you will be able to explain the history of a dataset through visualizations

Specific Objectives

Module 1. Data Analysis Techniques

• Know the different techniques for data analysis
• Design the joint strategy of statistical and artificial intelligence techniques for the development of descriptive and predictive systems applied to the reality of a dataset
• Understand the operation and characteristics of common mass data processing techniques
• Identify techniques oriented to statistical analysis, artificial intelligence and massive data processing

Module 2. Data Analysis Tools

• Know the environments most used by Data Scientists
• Know how to process data in different formats from different sources
• Learn from the need to guarantee the veracity of the data as a prior step to its processing
• Identify new technologies as pedagogical tools in the communication of the different business realities
• Know the latest trends in the creation of intelligent entities based on deep learning and neural networks 

Module 3. Database Management and Data Parallelization Systems

• Know the artificial intelligence techniques applicable for massively parallelized data processing on a given data set and according to previously defined requirements
• Know how to manage large volumes of data in a distributed manner
• Understand the operation and characteristics of common mass data processing techniques
• Identify commercial and free software tools oriented to statistical analysis, artificial intelligence and massive data processing

Module 4. Visualization Tools

• Know how to generate diagrams that visually represent the chosen situation froma set of data
• Be able to combine the different techniques studied for the design of original visualizations
• Know how, starting from a design and a set of previous data, an implementation of a visualization that meets the defined requirements can be carried out
• Identify the usability and interactivity needs of a data visualization method and be able to develop a new version of the visualization that improves these aspects
• Design a system that combines data capture and storage techniques, as well as data analysis and visualization, to represent existing patterns in that data set 

A stimulating professional growth journey designed to keep you interested and motivated throughout the training”