Cursos de ciencia de datos

Using Python and NumPy, learn the most fundamental financial concepts.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

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

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

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

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

Aprende sobre LLMOps desde la idea hasta la implementación y cómo aplicarlo a tus aplicaciones.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

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!

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

In this course youll learn to use and present logistic regression models for making predictions.

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

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

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

Aprende los fundamentos de la seguridad en IA para proteger sistemas y mitigar riesgos clave.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

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 use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

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

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

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

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