Developing Python Packages
Learn to create your own Python packages to make your code easier to use and share with others.
Siga vídeos curtos conduzidos por instrutores especializados e pratique o que aprendeu com exercícios interativos em seu navegador.
Learn to create your own Python packages to make your code easier to use and share with others.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Master sampling to get more accurate statistics with less data.
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Aprenda a preparar dados de solicitação de crédito, aplicar machine learning e regras para reduzir riscos.
Aproveite a API da OpenAI para preparar suas aplicações de IA para produção.
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Aprenda a desenvolver modelos de deep learning com Keras.
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.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn to perform linear and logistic regression with multiple explanatory variables.
Entre no mundo dinâmico da modelagem de dados com Snowflake!
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.