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Al continuar, aceptas nuestros Términos de uso, nuestra Política de privacidad y que tus datos se almacenen en los EE. UU.Adquiere las habilidades esenciales utilizando Scikit-learn, SHAP y LIME para probar y construir sistemas de IA transparentes, fiables y responsables.
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
Master sampling to get more accurate statistics with less data.
Domina la seguridad, la gobernanza y la optimización de costes de AWS para prepararte para la certificación Cloud Practitioner.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Master the key concepts of data management, from life cycle stages to security and governance.
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Domina NoSQL y mejora los flujos de datos. Aprende Snowflake, Postgres JSON y Redis.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Discover how Marketing Analysts use data to understand customers and drive business growth.
Explora las estrategias de monetización de la IA y los datos, construye infraestructuras éticas y alinea los productos con los objetivos empresariales.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Learn to create your own Python packages to make your code easier to use and share with others.
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Aprende a utilizar la plataforma analítica KNIME para consultar, limpiar y analizar datos sin código o con muy poco código.
Conoce los servicios de Azure como computación, almacenamiento y automatización, con experiencia práctica.
Aprende a limpiar datos con Apache Spark en Python.
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.