Cursos de ciencia de datos

Learn the fundamentals of data visualization using Google Sheets.

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

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

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

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.

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

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

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

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

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

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

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

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

Create interactive data visualizations in Python using Plotly.

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

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

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

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

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

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

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

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

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

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

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.

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