UNIR - Mexico

Master in Analysis and Visualization of Big Data - Big Data

The only Master's degree focused on the complete Big Data process: data analysis, processing and visualization

• Duration: 18 months
• Online exams
• Credits: 88
• Methodology: 100% online education
• Live online classes
• Personal tutor

Companies and official bodies are increasingly adapted to the new times in which massive information is increasingly present. The data is processed and analyzed, so that it is very useful in a multitude of areas and generates a competitive advantage for the organization.

This Master's degree will train you as a specialist in BIG DATA, one of the professions with the highest demand for work. It will allow you to transform, analyze, interpret and incorporate data mining into the decision-making of any company, and implement project monitoring systems.

“According to statistics from LinkedIn, since 2012 there has been a six-fold increase in data science jobs. They offer salaries of more than 100,000 pesos a month ”.

This postgraduate course combines Visual Analytics and Big Data to adapt to current market demand. It will train you in the use of the latest artificial intelligence tools and techniques, in addition to Machine Learning for the storage and visualization of data analysis. You will be able to find patterns and trends that explain behaviors in defined environments, thus making valuable contributions within your company. You will work with:

• Data mining techniques for the capture and storage of information: data management and processing with MongoDB.
• The latest techniques in data science for the development of Artificial Intelligence: clustering and design of systems capable of creating new knowledge.
• Engineering for massive data processing (Machine Learning): Hadoop tools and data analysis and text mining with R.
• Visualization Tools: Google Charts, JQuery plug-ins, for visualizations and D3.js.

goals

This Master will teach you:

• To master the latest statistical techniques applied to the analysis, visualization and interpretation of data.
• Computational skills related to the design and exploitation of databases.
• Advanced engineering techniques for data processing.
• Legal aspects related to privacy and data protection.
• To handle artificial intelligence tools and relate them to analysis techniques to optimize the visualization of information.
• To design an analysis system capable of supporting decision-making by providing data.
• To be able to apply noSQL storage techniques, analysis and / or data visualization in any real situation of a company.
• Identify the most common descriptors for a data set and assess their application in a known data set.
• To evaluate the applicable display systems according to the information to be transmitted.
• To produce, analyze and draw conclusions from statistical data for correct decision making.
• To correctly prepare reports of research findings, with quality, consistency of reasoning and a wording that facilitates their understanding and dissemination.
• To create your own graphics and visualizations using existing libraries and tools.