Better Data Formats for Faster Analysis

Description

Have you ever tried to load a large CSV file and waited minutes for it to appear? CSV files can be slow to read, memory-intensive, and difficult to share, especially with large datasets.

In this free webinar, we’ll introduce columnar data formats such as Parquet, which load faster, compress more efficiently, and preserve data types. You’ll see how to use Parquet with pandas, Polars, or DuckDB to improve workflow efficiency and reproducibility.

Join us for a 30-minute webinar with live discussion and demonstration.

Who should attend

Researchers, graduate students, and anyone working with large datasets who want faster, more reliable data handling and analysis.