Today's leaders need the knowledge and confidence to ensure that their organizations are prepared to capitalize on the opportunities offered by Big Data and Artificial Intelligence, through the direct and indirect impact on employees, customers and the business ecosystem by successfully incorporating it into their main strategic lines. This program is designed for executives and professionals of companies who wish to be trained to enter the world of Big Data and Artificial Intelligence as professionals capable of managing the complete process, capturing and storing information, applying all data mining in the search of patterns of interest to the company, with a focus on the area of necessary security, both to protect company assets and to know what company information has been exposed on the Internet.
Candidates will be able to acquire the knowledge and analytical skills necessary to lead the organization's approach to security through analysis and data-driven decision making. We will explore different use cases where candidates will see the full potential of Big Data and Artificial Intelligence applied in a highly complex environment, such as the security of the organization and the protection of the different assets of the company, which will guarantee the future sustainability of the business: brand and reputation, industrial properties, competitive advantages, etc.
The lectures are taught by expert teachers with extensive professional experience that combine knowledge, experience and pedagogical vocation. In this way, the program is taught from a real perspective, and from close and specialized knowledge of business practice.
The syllabus includes information presented, in terms of form and content, in a way that is useful for its practical application, that allows understanding basic and specific concepts in the field of big data and cybersecurity, up-to-date and with the latest knowledge.
As a complement to the material, there will be "live" conferences with specialists, creating a space to share information, experiences, opinions and doubts on various topics. Likewise, these will remain on the platform to allow their later viewing.
The participants will have the following objectives:
Through this program, participants will be able to:
At the end of this program, the student will have the necessary competences to:
Know and understand the different techniques for data analysis and massive data processing.
Design the joint strategy of statistical techniques and artificial intelligence for the development of descriptive and predictive systems applied to the reality of a data set.
Identify techniques aimed at statistical analysis, artificial intelligence and massive data processing.
Know and understand the different techniques for data analysis and massive data processing
Design the joint strategy of statistical techniques and artificial intelligence for the development of descriptive and predictive systems applied to the reality of a data set
Identify techniques aimed at statistical analysis, artificial intelligence and massive data processing.
Know the applicable AI techniques for the parallel processing of large volumes of data.
KKnow how to manage large volumes of data in a distributed manner.
KUnderstand the operation and characteristics of common massive data processing techniques.
KIdentify some of the commercial and free software tools oriented to statistical analysis, AI and massive data processing.
Identify the legal aspects of application related to the capture, storage and use of user data.
Know how to provide privacy in Big Data and AI.
Know how to provide anonymization mechanisms in Big Data and AI.
Anticipate the ethical risks and benefits derived from the application of Artificial Intelligence techniques that may occur in a real situation.
Provide an introduction to the Web as a massive source of real data based on searches carried out by users that can be used both in decision-making and in the search for patterns of behavior.
Analyze the technologies underlying the various Web systems.
Develop opensource intelligence solutions, exploiting available data sources.
Know the SQuID methodology and its applicability in the development of projects with large volumes of data