Instructor

Julia Lane, julia.lane@nyu.edu

Introduction

These pre-training lectures familiarize students with material the instructors will cover more deeply at the in-house trainings. By the end of the lecture series, students should have basic knowledge of concepts in the fields of data visualization, record linkage, error and inference, and data privacy and confidentiality.

Accessing Course Materials

The instructors’ lectures are accessible via the links below. Lectures feature short quizzes designed to help students discern whether they are retaining the covered material. Students take these quizzes anonymously and are not graded on their performance.

Data Visualization: Principles of Good Design

Record Linkage: Same Entity, Different Sources