Lecture 1: What is Data Science¶
This lecture introduces the field of data science through historical and modern case studies, exploring its societal impact and ethical considerations.
Lecture 2: Data, Statistics and Ethics¶
This lecture defines fundamental concepts of data, Big Data, and statistics, covering sampling methods, data storage basics, and career roles. A significant focus is placed on data ethics, including privacy, bias, and responsible data handling throughout its lifecycle.
Lab 1: Reading and Exploring Datasets¶
In this lab, students will inspect a dataset’s characteristics and practice preliminary data cleaning and then analyze the story of a data set.