Cursos de datos, IA y nube

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

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

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

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

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

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

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

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.

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

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

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

In this course youll learn how to use data science for several common marketing tasks.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

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

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

In this course youll learn how to apply machine learning in the HR domain.

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

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network