IA explicable en Python
Adquiere las habilidades esenciales utilizando Scikit-learn, SHAP y LIME para probar y construir sistemas de IA transparentes, fiables y responsables.
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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.
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
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.
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
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.
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Learn the fundamentals of data visualization using Google Sheets.
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Discover how Marketing Analysts use data to understand customers and drive business growth.
Master the key concepts of data management, from life cycle stages to security and governance.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
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.
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
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
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Aprende a utilizar la plataforma analítica KNIME para consultar, limpiar y analizar datos sin código o con muy poco código.
Comprende el papel y las realidades del mundo real de la Inteligencia Artificial Explicable (XAI) con este curso para principiantes.
Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.
Conoce los servicios de Azure como computación, almacenamiento y automatización, con experiencia práctica.
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.