Cursos de datos, IA y nube

Learn how to transform and analyze data within your Microsoft Fabric account

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

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

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Learn how to set up and manage your Microsoft Fabric infrastructure.

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

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

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

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

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

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

Learn how to produce interactive web maps with ease using leaflet.

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

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

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

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

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

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

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

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

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

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

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