Cursos de datos, IA y nube

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Aprende sobre la gestión del riesgo, el valor en riesgo y mucho más, en un contexto aplicado a la crisis financiera de 2008 utilizando Python.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Discover how the Pinecone vector database is revolutionizing AI application development!

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Utiliza las herramientas avanzadas de visualización de Seaborn para crear visualizaciones hermosas e informativas.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

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

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Learn to manipulate and analyze flexibly structured data with MongoDB.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Explore ways to work with date and time data in SQL Server for time series analysis

In this course you will learn to fit hierarchical models with random effects.