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 syllabus of the Postgraduate diploma university is configured as a complete tour through each and every one of the knowledge necessary to understand and assume the ways of working in this field. With an approach focused on practical application that will help you grow as a professional from the very first moment of training.   

A comprehensive syllabus focused on acquiring knowledge and converting it into real skills, created to propel you to excellence"

Module 1. Data Analysis Techniques

1.1. Predictive Analytics 
1.2. Evaluation Techniques and Model Selection 
1.3. Lineal Optimization Techniques 
1.4. Monte Carlo Simulations 
1.5. Scenario Analysis 
1.6. Machine Learning Techniques 
1.7. Web Analytics 
1.8. Text Mining Techniques 
1.9. Methods of Natural Language Processing (NLP) 
1.10. Social Network Analytics 

Module 2. Data Analysis Tools

2.1. Data Science R Environment
2.2. Data Science Python Environment
2.3. Static and Statistical Graphs
2.4. Data Processing in Different Formats and Different Sources
2.5. Data Cleaning and Preparation
2.6. Exploratory Studies    
2.7. Decision Trees
2.8. Classification and Association Rules
2.9. Neural Networks
2.10. Deep Learning

Module 3. Database Management and Data Parallelization Systems

3.1. Conventional Databases
3.2. Non-Conventional Databases
3.3. Cloud Computing Data Distribution Management 
3.4. Tools for the Ingestion of Large Volumes of Data
3.5. Types of Parallels
3.6. Data Processing in Streaming and Real Time
3.7. Parallel Processing: Hadoop
3.8. Parallel Processing: Spark
3.9. Apache Kafka

3.9.1. Introduction to Apache Kafka
3.9.2. Architecture
3.9.3. Data Structure
3.9.4. APIs Kafka
3.9.5. Case Uses

3.10. Cloudera Impala

Module 4. Visualization Tools

4.1. Introducción a las Herramientas de visualización de Datos
4.2. Many Eyes
4.3. Google Charts
4.4. jQuery
4.5. Data-Driven Documents I
4.6. Data-Driven Documents II
4.7. Matlab
4.8. Tableau
4.9. SAS Visual Analytics
4.10. Microsoft Power BI

A comprehensive and multidisciplinary training that will allow you to excel in your career"