Introduction to Portfolio Risk Management in Python
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
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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.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Visualize seasonality, trends and other patterns in your time series data.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Learn how to identify, analyze, remove and impute missing data in Python.
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Aprende a implementar la gestión de datos distribuidos y el machine learning en Spark utilizando el paquete PySpark.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
In this course, youll learn the basics of relational databases and how to interact with them.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
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!
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
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 powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Utiliza las sofisticadas herramientas de visualización de Seaborn para hacer visualizaciones bellas e informativas con facilidad.
This course will show you how to integrate spatial data into your Python Data Science workflow.
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.
Aprende a utilizar Amazon Bedrock para acceder a modelos básicos de IA y crear con IA, sin necesidad de gestionar una infraestructura compleja.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.