Cursos de dados, IA e nuvem

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn how to segment customers in Python.

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

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

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

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

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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

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

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

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

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

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

Learn how to transform and analyze data within your Microsoft Fabric account

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

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

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

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

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Aprenda a criar e executar suas próprias simulações de Monte Carlo usando Python!

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

Learn how to work with streaming data using serverless technologies on AWS.

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