All courses
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.
Arturo LorenzoNuclio Learning
Participants will gain hands-on experience with AWS services like Amazon S3, Glue, Athena, and QuickSight. The course covers data ingestion, storage, processing, and visualization, enabling learners to implement comprehensive Big Data solutions in AWS.
Borer Group
The Data Analytics Bootcamp by Adalab offers a comprehensive curriculum that covers everything from data exploration to transformation. Designed for women, this course provides a supportive environment to learn data analytics skills, preparing you for one of the most in-demand professions of the future.
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.
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.
Nico PopesculNuclio Learning
This course covers key concepts such as Python virtual environments, proper structuring of ML projects, and the appropriate use of the sklearn package, focusing on Pipelines, Transformers, and ColumnTransformers to automate data cleaning and processing. Learn to develop Python modules to promote code reuse and improve efficiency in ML project development.
Borer Group
The Data Analytics Bootcamp by Adalab offers a comprehensive curriculum that covers everything from data exploration to transformation. Designed for women, this course provides a supportive environment to learn data analytics skills, preparing you for one of the most in-demand professions of the future.
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.
