Cursos de dados, IA e nuvem

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

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

Saiba como projetar visualizações e relatórios do Power BI pensando nos usuários.

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

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

In this course, youll learn the basics of relational databases and how to interact with them.

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

Learn how to identify, analyze, remove and impute missing data in Python.

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

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

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

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

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

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

Aprenda a implementar o gerenciamento de dados distribuídos e o machine learning no Spark usando o pacote PySpark.

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

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

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

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

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

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

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

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.

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