Cursos de ciência de dados

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.

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

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.

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

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

Aprenda a fazer previsões com Apache Spark usando árvores de decisão, regressões e pipelines.

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

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

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

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

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

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

Create interactive data visualizations in Python using Plotly.

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

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

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

Learn the fundamentals of data visualization using Google Sheets.

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

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

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.

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

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

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

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

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.