Cursos de datos, IA y nube

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

In this course youll learn how to leverage statistical techniques for working with categorical data.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

¿Tienes curiosidad por conocer el funcionamiento interno de los modelos que hay detrás de productos como Google Translate?

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Aprende a crear visualizaciones de datos atractivas con KNIME, abarcando gráficos, componentes y paneles.

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

Learn to easily summarize and manipulate lists using the purrr package.

Learn how to visualize time series in R, then practice with a stock-picking case study.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn to process sensitive information with privacy-preserving techniques.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

Learn how to prepare and organize your data for predictive analytics.