Cursos de datos, IA y nube

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Automatización con KNIME: domina la fusión y agregación de datos, los flujos de trabajo de bases de datos y la gestión avanzada de archivos.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Learn how to pull character strings apart, put them back together and use the stringr package.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Learn the bag of words technique for text mining with R.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Use survival analysis to work with time-to-event data and predict survival time.

In this course youll learn how to perform inference using linear models.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

Learn to use the Bioconductor package limma for differential gene expression analysis.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Learn to use the Census API to work with demographic and socioeconomic data.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.