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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.Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn the bag of words technique for text mining with R.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Aprende a utilizar Amazon Bedrock para acceder a modelos básicos de IA y crear con IA, sin necesidad de gestionar una infraestructura compleja.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Mejora tus conocimientos de KNIME con el curso sobre transformación de datos, operaciones con columnas y optimización del flujo de trabajo.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn how to pull character strings apart, put them back together and use the stringr package.
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Aprende a reducir los tiempos de entrenamiento de grandes modelos lingüísticos con el Acelerador y el Entrenador para el entrenamiento distribuido