Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore how Python can transform curious questions into full-fledged data visualization projects in this engaging conference talk. Learn to extract data from web sources through screen scraping and APIs, clean textual data, and conduct exploratory data analysis using Python's powerful libraries. Discover how to answer intriguing questions like tracking the shift from "Coronavirus" to "COVID" in public discourse, analyzing political trends, and investigating job tenure patterns for data scientists. Gain insights into turning everyday wonderings into data-driven insights through practical Python applications. This 41-minute presentation, delivered by Ned Stratton, Data Analyst at UCOVI/Action BI Ltd, was part of the 2023 Oktoberfest Data Science Festival in London and offers a rapid overview of Python's capabilities in transforming raw data into meaningful visualizations and analytics.