Cursos de ciência de dados

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Aprenda os fundamentos das redes neurais e como criar modelos de deep learning com TensorFlow.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Learn to create your own Python packages to make your code easier to use and share with others.

Master sampling to get more accurate statistics with less data.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Aprenda a desenvolver modelos de deep learning com Keras.

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

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

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

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

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

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

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

Entre no mundo dinâmico da modelagem de dados com Snowflake!

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

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

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

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

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

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

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

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

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

In this course, youll learn how to import and manage financial data in Python using various tools and sources.