Make Me Data Literate: Who It's For and Who Sponsors It

Est. audience: 200
Apple rating: 0 from 0
Cadence: Every two weeks
Latest: 2026-10-26
By: Dr Linda McIver, Australian Data Science Education Institute
Based on: 12 recent episodes

Covers: Interviews exploring data science, research methodologies, artificial intelligence impacts, statistics, and real-world data collection challenges.
For: Data analysts, researchers, educators, and professionals seeking to improve data literacy.
Best for: Professionals and organizations looking to build data literacy and understand research design.
Skip if: People looking for basic software tutorials or non-technical general entertainment.

Start with

Joshua Nibbs on Cybersecurity and AI: Explains how artificial intelligence development impacts cybersecurity and data collection practices.
Associate Professor Nicole White on the value of messy data: Covers how assumptions and decisions affect data collection, data analysis, and objectivity.
Associate Professor Karen Lamb on Rigorous Research Design: Teaches principles of rigorous experiment design, biostatistics, and sound statistical methodology.

Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.