Coursera has introduced a beginner-friendly specialization focused on Python’s NumPy and Pandas libraries, aimed at equipping learners with practical skills in data cleaning, transformation, and ...

If you want to break into data science, a portfolio of completed projects is your most powerful asset. From analyzing Titanic passenger data to creating interactive dashboards, beginner-friendly ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

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 ...

Fix for the Pandas to_sql() dataframe method that fails when we try pushing more than 255 values to a Databricks table. I also changed the way the source dataframe gets broken up into chunks, since I ...

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 ...