Pretty easy, overall.
I would recommend it. This is a required course for DPP students but should you not be in DPP, I would still recommend it. I understand that we're in the social sciences, but in the workplace we will be expected to have a certain level of familiarity with basic statistics. This will especially be useful for that.
This course provides a basic grounding in some critical concepts of Policy Analysis and an introduction to inferential statistics, emphasizing Policy Analysis applications. The first part of the course introduces the stages of the public policy process and develops skills in problem identification and problem structuring - a critical step in the process of analyzing policy-relevant information. The course then shifts to introduce to a series of quantitative analysis instruments that are common to the field of policy analysis, making them important concepts for anyone who wishes to work in the field. Topics to be covered include sampling, hypothesis testing, analysis of variance, correlation and simple linear regression analysis. The course will also include an introduction to the use of advanced analytic software, as well as spreadsheet statistical functions.
Hours per week:
Advice for students:
I would advice to be familiar with Excel statistical functions and also how statistics is used in the social sciences.