Cursos de ciência de dados

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

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

Conheça os desafios de monitorar modelos de ML em produção, como deriva de dados e conceito, e métodos para resolver.

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

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Leverage the power of Python and PuLP to optimize supply chains.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Master Amazon Redshifts SQL, data management, optimization, and security.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Discover how to use the income statement and balance sheet in Power BI

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Learn how to develop deep learning models with Keras.

Learn how to design Power BI visualizations and reports with users in mind.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

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

Discover how the Pinecone vector database is revolutionizing AI application development!

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

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

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

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

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.