Policy Analytics: Understanding and Using Data

Submitted by mpaadmin on
vector styled woman at a virtual training seminar
Training Location
Online
Application Deadline
Start Date
End Date

Course Overview

Increasingly, many of today’s most pressing and important social and political issues require quantitative analyses -- the collection, organisation, analysis, interpretation, and presentation of data. These techniques can be used to examine critical issues related to electoral politics, public opinion, and the media, as well as topics like development, finance, trade, human rights, and regulation. The ubiquity of so-called ‘Big Data’ makes quantitative techniques more applicable and useful than ever. Quantitative analysis is now a critical and highly sought-after transferable skill in the private and public sectors.

Course features

Week 1: Fundamentals of Quantitative Methods

This week will introduce you to the fundamentals of quantitative methods. We will critically assess several topics such as: quantitative analysis, assessing and creating concepts, exploring data, introduction to Stata and Stata basics.

Week 2: Describing and Comparing Data

This week focuses on ensuring that students fully understand the mechanisms that underpin leadership – such as influence and power. In the course of learning about these concepts, students will be able to evaluate which of these resources are available to them and how they could further develop them. We will also consider how to motivate employees in this context – drawing on the unique character of motivation of this workforce (public sector motivation/ethos).

Week 3: Using Data to Explain and Predict Outcomes

In this final week, you will learn how to use statistics to explain and predict outcomes. This covers an introduction to bivariate and multivariate regression analysis, when to use regression analysis, Stata regression and diagnostic commands and interpreting and graphing regression analysis.

Learning outcomes

Upon completion of this module, students will be able to:

  • How to generate and organise new databases as well as how to navigate very large“ off-the-shelf” databases.
  • The fundamentals of statistical analysis, from measures of central tendency to probability, to regression.
  • How to use a widely-used statistical software programme, Stata.
  • How to interpret and visualise the results of statistical analyses.

Entry requirements

This short course is for mid-career professionals. Standard entry requirements are a 2:1 degree plus 3 years of relevant work experience. Applicants without a 2:1 or higher degree are welcome to apply and typically require 5+ years of relevant work experience.

Assessment

One written assignment, plus participation in webinars and discussion forums.

Our modules offer high levels of interaction with regular points of assessment and feedback. Each four week module is worth five Master's level academic credits and includes three webinars with a King's lecturer and peer group of global professionals.

More Information Apply Now