Explore the fundamentals of statistics in this 52-minute talk by Charis Chanialidis, a Data Scientist from Hymans Robertson, presented at the Data Science Festival Summer School 2021. Gain insights into the differences between collecting, analyzing, presenting, interpreting, and summarizing data. Learn about various types of data and demystify statistical jargon such as population, samples, and parameters. Discover key statistical concepts including mean, median, variance, and standard deviation. Understand how to approach intriguing questions like predicting drug effectiveness, calculating probabilities of sporting events, and forecasting customer behavior. The talk covers a comprehensive syllabus, including an introduction to statistics, data types, statistical terminology, historical examples, data summarization techniques, data visualization methods, and the role of a statistician. Additionally, learn about common assumptions in statistics and explore free online resources to further your understanding of the field.
Overview
Syllabus
Intro
What I have been up to?
What is Statistics? (let's break it down)
Types of Data
Statistical jargon (Part I)
Exercise on statistical jargon
World War II and bullet holes
Summarising data
Mean and median
Variance and standard deviation
Same stats, different graphs
Visualising data
Visualising categorical data (Part I)
Visualising numerical data (Part V)
What does a Statistician do?
Things that we (usually) take for granted
Free resources available online
Taught by
Data Science Festival
