All courses
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.
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.
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.
Adolfo GarandalIEBS Digital School 7
In this course, you will gain hands-on experience in loading information into Power BI, designing and preparing data models for analysis. You will understand the theoretical concepts of dimensional data modeling and apply them through practical, guided examples using Power BI Desktop.
IMMUNE Technology Institute
Participants will learn to analyze large datasets using Python, apply machine learning algorithms, and leverage big data technologies. The course also covers essential AI concepts and prepares students for Google Cloud and Microsoft certification exams.
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.
Ignacio AnguitaNuclio Learning
This course provides a solid foundation in Data Science with Python, equipping you with the tools and skills needed to excel in data analysis and make informed decisions in various professional contexts. You'll learn to program in Python, use Pandas for data analysis, create visual dashboards with PowerBI, and implement AI models for predictive analytics.
