Cursos de dados, IA e nuvem

Learn the core techniques necessary to extract meaningful insights from time series data.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

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

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

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

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

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

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

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Learn how to approach and win competitions on Kaggle.

Aprenda sobre gerenciamento de risco, valor em risco e mais, aplicados à crise financeira de 2008 usando Python.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Explore o controle de versão de dados para o gerenciamento de dados de ML. Domine a configuração, automatize pipelines e avalie modelos com perfeição.

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

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

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

In this course you will learn to fit hierarchical models with random effects.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

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

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

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

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

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

In this course youll learn to use and present logistic regression models for making predictions.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

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

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.