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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.Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
Aprende a implementar la gestión de datos distribuidos y el machine learning en Spark utilizando el paquete PySpark.
Learn how to identify, analyze, remove and impute missing data in Python.
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Aprende a usar las herramientas GPT con confianza y responsabilidad. Descubre cómo funcionan y cómo escribir prompts y evaluar resultados.
Learn essential finance math skills with practical Excel exercises and real-world examples.
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Aprende sobre la gestión del riesgo, el valor en riesgo y mucho más, en un contexto aplicado a la crisis financiera de 2008 con Python.
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Visualize seasonality, trends and other patterns in your time series data.
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Utiliza las sofisticadas herramientas de visualización de Seaborn para hacer visualizaciones bellas e informativas con facilidad.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
This course will show you how to integrate spatial data into your Python Data Science workflow.
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.