Data analysts have to use Excel and Google Sheets more or less on a daily basis in their work. Although these spreadsheet tools are often overshadowed by programming languages, the ability to analyze, ...

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences matter most, with Polars and DuckD ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to ...

End-to-end SaaS revenue analytics project using Python, SQL, and data visualization to analyze revenue trends, churn, retention, and customer behavior.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

This project analyzes the Brazilian E-Commerce Public Dataset (Olist) from Kaggle to explore customer behavior, orders, and payments. The analysis is performed in Python (Pandas) and SQL within a ...