Cursos de dados, IA e nuvem

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

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.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Use as sofisticadas ferramentas de visualização do Seaborn para criar visualizações bonitas e informativas com facilidade.

Saiba como trabalhar com dados em tempo real usando tecnologias sem servidor na AWS.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

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

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Visualize seasonality, trends and other patterns in your time series data.

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!

Entenda os desafios de monitorar modelos de ML em produção, como desvio de dados e de conceito, e métodos para evitar a degradação do modelo.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

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

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

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

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

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

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

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.

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

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

Analyze text data in R using the tidy framework.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn how to detect fraud using Python.

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

Learn the core techniques necessary to extract meaningful insights from time series data.