Data Literacy in the 21st Century

In this webinar, Dr. Hugo Bowne-Anderson, data scientist and educator at DataCamp and host of the podcast DataFramed, will talk you through what you need to know when you talk about data. Drawing on a series of articles he is writing for Harvard Business Review, Hugo breaks the conversation down into five areas: - data generation, collection and storage, - what data looks and feels like to data scientists and analysts, - statistical intuition and common statistical pitfalls, - model building, machine learning and AI, and - the ethics of data, big and small.

You can find the slides here.