All courses
Alejandro Pérez PérezIEBS Digital School 7
This course provides an in-depth understanding of distributed data architectures, essential for handling large-scale data efficiently. Learn about parallelization, Map Reduce, Lambda and Kappa architectures, and how to manage resources using tools like HDFS, HIVE, and YARN. Practical case studies, such as Netflix's data architecture, are included to illustrate the application of these concepts.
Román Martín LleraIEBS Digital School 7
Participants will learn to identify and connect to various data sources, both internal and external, to strengthen organizational data analyses. The course covers practical tools and techniques such as Power BI, Web Scraping, and API connections, culminating in a data analysis project.
Núria Xifré MartínNuclio Learning
This course provides a deep understanding of the differences between SQL and NoSQL databases, equips students with solid SQL querying skills for data extraction, and imparts basic knowledge of table editing commands in SQL databases.
Nuclio Digital School
In this course, you will learn the art of storytelling through analytics. You will be introduced to the data revolution and gain hands-on experience with tools like Knime and PowerBI. By the end of the course, you will be able to clean data, perform exploratory analysis, and create visualizations that tell impactful stories.
Ignacio AnguitaNuclio Learning
This course provides essential programming knowledge, data analysis with Pandas, and the creation of impactful dashboards using PowerBI. It also equips you to develop artificial intelligence models, enabling you to make predictions based on real-world data.
Francisco José Cotán LópezIEBS Digital School 7
Participants will gain expertise in designing and developing both Data Warehouses and Data Lakes using AWS and Azure tools. The course covers the architectural differences between Data Warehouses and Data Lakes, their applications in business environments, and practical skills in using MongoDB Atlas for data manipulation and visualization.
Jordi RosellIEBS Digital School 7
Participants will learn to set up the development environment for R programming, understand the general fundamentals of R programming, and program simple algorithms using functions and operators. This course is designed to make you proficient in R and prepare you for advanced studies or professional tasks in data science and analytics.
Alejandro Pérez PérezIEBS Digital School 7
This course provides an in-depth understanding of distributed data architectures, essential for handling large-scale data efficiently. Learn about parallelization, Map Reduce, Lambda and Kappa architectures, and how to manage resources using tools like HDFS, HIVE, and YARN. Practical case studies, such as Netflix's data architecture, are included to illustrate the application of these concepts.
