Subjects
Master in Data Strategy & Analytics
Data Strategy & Analytics
Data Strategy & Analytics
Basic concepts of analytics, management and use of data to achieve advantages in decision making and achieve our objectives.
Data Governance & Ethics
Data Governance & Ethics
Analysis of best practices for managing data taking into account the responsibilities involved in its use.
Data Science Fundamentals
Data Science Fundamentals
Introduction to fundamental concepts of Data Science. Presentation of the general frame of reference.
Cloud Platforms
Cloud Platforms
Fundamental concepts about Cloud Platforms from typical project requirements.
Databases & SQL
Databases & SQL
Main databases and the SQL language, learning the latest techniques for storing, manipulating and extracting data in databases.
ETL Tools: Azure Data Factory
ETL Tools: Azure Data Factory
Development of ETL/ELT processes on azure data factory. Process management and maintenance.
BI Tools: Excel
BI Tools: Excel
Advanced formulation in Excel. Creation of dashboards with pivot tables. Introduction to VBA for Excel. Creation of Apps with Excel.
BI Tools: PowerBI
BI Tools: PowerBI
Learning Power BI from its types of use to the complete management of the platform. In addition, learning DAX within Power BI to obtain the best solutions.
BI Tools: OpenSource, Qliksense & Tableau
BI Tools: OpenSource, Qliksense & Tableau
Data analysis with an excellent visualization layer with presentation techniques in an understandable, easy and intuitive format.
Data Storytelling
Data Storytelling
Strategies to connect data analytics with business objectives through narratives focused on different audiences.
Python for beginners
Python for beginners
You will learn about Python programming, the environments in which it is used and its main libraries.
Introducción Inteligencia Artificial
Introducción Inteligencia Artificial
Basic concepts of machine learning techniques and tools and the fundamentals of neural networks.
Data Strategy for Business
Data Strategy for Business
Practical applications of DS for business, review of data strategy in sectors such as banking, telco, travel and retail.
Final Project
Final Project
Development of a final project to put into practice with a real case the knowledge acquired during the Master.
Subjects
Master in Data Strategy & Analytics
Data Strategy & Analytics
Data Strategy & Analytics
Basic concepts of analytics, management and use of data to achieve advantages in decision making and achieve our objectives.
Data Governance & Ethics
Data Governance & Ethics
Analysis of best practices for managing data taking into account the responsibilities involved in its use.
Data Science Fundamentals
Data Science Fundamentals
Introduction to fundamental concepts of Data Science. Presentation of the general frame of reference.
Cloud Platforms
Cloud Platforms
Fundamental concepts about Cloud Platforms from typical project requirements.
Databases & SQL
Databases & SQL
Main databases and the SQL language, learning the latest techniques for storing, manipulating and extracting data in databases.
ETL Tools: Azure Data Factory
ETL Tools: Azure Data Factory
Development of ETL/ELT processes on azure data factory. Process management and maintenance.
BI Tools: Excel
BI Tools: Excel
Advanced formulation in Excel. Creation of dashboards with pivot tables. Introduction to VBA for Excel. Creation of Apps with Excel.
BI Tools: PowerBI
BI Tools: PowerBI
Learning Power BI from its types of use to the complete management of the platform. In addition, learning DAX within Power BI to obtain the best solutions.
BI Tools: OpenSource, Qliksense & Tableau
BI Tools: OpenSource, Qliksense & Tableau
Data analysis with an excellent visualization layer with presentation techniques in an understandable, easy and intuitive format.
Data Storytelling
Data Storytelling
Strategies to connect data analytics with business objectives through narratives focused on different audiences.
Python for beginners
Python for beginners
You will learn about Python programming, the environments in which it is used and its main libraries.
Introducción Inteligencia Artificial
Introducción Inteligencia Artificial
Basic concepts of machine learning techniques and tools and the fundamentals of neural networks.
Data Strategy for Business
Data Strategy for Business
Practical applications of DS for business, review of data strategy in sectors such as banking, telco, travel and retail.
Final Project
Final Project
Development of a final project to put into practice with a real case the knowledge acquired during the Master.
Iván Pinar
Director of Operations
Ana Belén Rueda
Advanced Analytics & Data Science Project Director
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Fabiola Pérez
CEO
Santiago Franco
Advanced Analytics Manager
Marian Alonso
Advanced Analytics Manager
Amaya Carriba
Head of Data Governance
Miguel García
Software Craftman
See all
Learn with professors from
leading companies
leading companies
Learn with professors from
leading companies
leading companies
Iván Pinar
Director of Operations
Ana Belén Rueda
Advanced Analytics & Data Science Project Director
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Fabiola Pérez
CEO
Santiago Franco
Advanced Analytics Manager
Marian Alonso
Advanced Analytics Manager
Amaya Carriba
Head of Data Governance
Miguel García
Software Craftman
Francisco López
Vice President Marketing Communications
David López
IoT/XR Solutions & Innovation Project Manager
Alvaro Montero
Head of Data
David Gordo
Co-Founder
Next edition
Start date
March
2025
2025
Schedule
Mondays
18:30 - 22:30
Wednesdays
18:30 - 22:30
18:30 - 22:30
Wednesdays
18:30 - 22:30
Duration
5 Months
170 Hours
170 Hours
Seats
25 people
