Master Data Analytics

In this course, the student will analyze how Data impacts traditional business models, understand how new business models emerge from the exploitation and monetization of Data, the innovation around the Data and which is the Agile ISDI method that will be applied in the development of the Backbone project.

In this course / module the student will understand the different sources of data that exist and learn to differentiate and classify data. Study the main characteristics of the Data and the phases of its management, understand what the Data Government and Data Quality are and how they impact in the business, also they will approach the legislation and regulation of data management.

In this course / module the student will analyze projects based on Data and understand their life cycle. You will know the different roles related to the data and understand what is the structure of project teams based on data.

In this course students will learn about the technological "Stack" of projects based on data. They analyze the technological implications of the 3V of Big Data. Students will gain understanding about the importance of monitoring and safety in regards to data management.

The objective of this course is to understand what Data analytics is and the value it offers. Approach the most common analytical techniques and frequent tools, and know the limitations of basic analytical approaches.

The objective of this course is for the student to know the history of Artificial Intelligence and to learn the fundamental concepts of Machine Learning in order to know how to differentiate existing approaches and techniques.

In this course / module the student will understand the importance of the visualization of the information for a more effective and complete analysis of the data, also know the most important visualizations and the usefulness of each of them.

The objective of this course / module is for the student to understand the actual use cases in optimization lines, to know different sectors and ecosystems and to understand the future trends in Data & Analytics.

The objective of the course is that the student understands the keys of the web analytics, knows the main services that Cloud offers and knows the main methodology in data projects.

The objective of this course is to put into practice the main resources and analytical tools, as well as the main strategic methods when working with data. Students will gain an understanding of this through case studies and challenges ( based on ISDI Ecommerce and others)

The aim is for students to analyze and understand the sector in which the company operates in, as well as the environment and market conditions that influence the development of their business operations. At the same time, an analysis of the company's performance and the identification of business development opportunities that could be addressed as axes of innovation and model transformation are needed. Apart from data, students will analyze the strategy and actions that the company develops in a purely digital environment. As well as analyzing in depth the operations and performance of actions of recruitment, conversion and loyalty channels, in order to identify and prioritize areas of improvement in regards to digital strategy.

Based on the conclusions of the previous deliverables the aim is to develop an Advanced Analytical solution that can improve the performance of the company's current business. Students will work in a team studying a collaborative company that lends its business reality to develop a data analytics plan. This way, students will incorporate the new analytical knowledge that they have acquired into their business project.