Data science courses

Aprenda a usar facetas, sistemas de coordenadas e estatísticas no ggplot2 para criar gráficos explicativos.

Aprenda a realizar regressão linear e logística com múltiplas variáveis explicativas.

Aprenda a preparar dados de solicitação de crédito, aplicar machine learning e regras para reduzir riscos.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Transform almost any dataset into a tidy format to make analysis easier.

Master sampling to get more accurate statistics with less data.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Aprenda a desenvolver modelos de deep learning com Keras.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Entre no mundo dinâmico da modelagem de dados com Snowflake!

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

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

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

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.

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

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

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

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

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

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

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

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

Explore ways to work with date and time data in SQL Server for time series analysis

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

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

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

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