Cursos de datos, IA y nube

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

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

Mejora tus conocimientos de KNIME con el curso sobre transformación de datos, operaciones con columnas y optimización del flujo de trabajo.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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

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

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

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

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

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

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn efficient techniques in pandas to optimize your Python code.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

This course is for R users who want to get up to speed with Python!

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

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

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

Learn how to access financial data from local files as well as from internet sources.

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

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

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!