Siga vídeos curtos conduzidos por instrutores especializados e pratique o que aprendeu com exercícios interativos em seu navegador.
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.
Use as ferramentas sofisticadas de visualização do Seaborn para criar visualizações bonitas e informativas.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Aprenda sobre gestão de riscos, valor em risco e mais aplicados à crise financeira de 2008 usando Python.
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Aprenda sobre LLMOps, do conceito à implantação, e como aplicar esses conceitos em suas aplicações.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Learn to manipulate and analyze flexibly structured data with MongoDB.
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!
Analyze text data in R using the tidy framework.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Learn how to approach and win competitions on Kaggle.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
