Editing Human Data Interaction (section)

== Target audience ==
The target audience for this course is any student whose major area of study involves empirical research. The student need not be enrolled in a data- or computationally-intensive major (e.g. bioinformatics, epidemiology, computational linguistics). In fact, students in social sciences and humanities disciplines where the use of data science tools and methods are not yet in widespread use (e.g. social work, communications, digital humanities) may especially benefit from the course. 

=== Prerequisites ===
HDI will require a basic familiarity with programming in Python. Students with a wide range of programming goals and levels of familiarity with programming can benefit from the course. The required level and type of programming proficiency necessary for success within the class will be kept deliberately minimal, and the mechanism for satisfying these prerequisites will be flexible. Students who wish to take HDI will be required to have taken at least one (online or classroom-based) programming course or coding workshop—ideally one that teaches the basic syntax and operations of the Python programming language, which has become the de-facto industry standard for data science programming. Potential non-credit-bearing options that would satisfy this prerequisite include Data Carpentry workshops, the Community Data Science Workshop, or Coursera’s Introduction to Python.