Cursos de ciencia de datos

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Master the key concepts of data management, from life cycle stages to security and governance.

Aprende a hacer predicciones con Apache Spark usando árboles de decisión, regresión logística y más.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

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.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

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

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

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

Learn the fundamentals of data visualization using Google Sheets.

Learn about ARIMA models in Python and become an expert in time series analysis.

Create interactive data visualizations in Python using Plotly.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

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

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

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

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

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

This course will show you how to integrate spatial data into your Python Data Science workflow.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

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

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

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