All courses
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.
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.
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.
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.
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.
Felipe CaldereroNuclio Learning
This course will guide you through the essentials of AI and Data Science, starting from data-driven business strategies to technological platforms. You'll gain advanced knowledge in programming, data analysis with Pandas, and creating impactful dashboards with PowerBI. The course also covers AI model development, enabling you to make real-world data predictions.
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.
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.
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.
Ignacio AnguitaNuclio Learning
The course offers a comprehensive understanding of Python programming concepts, including variables, functions, operators, and control flow structures. You will develop skills to work with different data types such as strings, lists, dictionaries, and objects. The program also covers advanced data structures and the use of Pandas for effective data analysis, as well as the application of machine learning models for real-world data predictions.
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.
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.
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.
Ignacio AnguitaNuclio Learning
Understand the basics of data visualization and its importance in decision-making. Learn to build professional reports and dashboards using Power BI, from installation to creating all kinds of visualizations. Explore advanced features in Power BI, including advanced data modeling, DAX formulas, and exploratory analysis tools. Develop skills to effectively analyze data using filters, segmentation, and predictive analysis tools.
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.
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.
