Courses

Search for a course by title or keyword, or browse by a school-wide Focus Area, such as: Inequality, Race, and Poverty; Environment and Climate Change; or Social Justice and Democracy.

Displaying 1 - 16 of 16
PADM-GP.4700
1.5 points

The importance of data and evidence in making decisions is critical to success in both the private and the public sector. The role of Artificial Intelligence (AI) in making sense of the vast amounts of data available to make evidence-based decisions has been highlighted by the establishment of a National Artificial Intelligence Initiative and by its pervasive use in virtually all parts of the economy and society. Yet there is potentially a dark side to the implementation of AI, particularly given its widespread use in criminal justice and immigration.

URPL-GP.2618
3 points

Understanding geographic relationships between people, land use, and resources is fundamental to planning. Urban planners routinely use spatial analysis to inform decision-making. This course will introduce students to Geographic Information Systems (GIS), a tool to analyze and visualize spatial data. The course will emphasize the core functions of GIS: map making, data management, and spatial analysis. Students will learn cartographic best practices, how to find and create spatial data, spatial analysis methodology, and how to approach problem solving from a geographic perspective.

PADM-GP.4322
1.5 points

Data plays an increasingly important role in powering today’s enterprises, governments and society as a whole. With the rapid pace of innovation, data science, advanced analytics and Artificial Intelligence (AI) are becoming increasingly central and critical to business today. Over time, social impact organizations will deem these tools as core to achieving their mission.

PADM-GP.4152
1.5 points

Commentators have noted that the use of AI technologies in government and nonprofits is lagging and part of the reason for this could be that many public service leaders do not feel equipped to make decisions on the use of these technologies. This course aims to equip current and future leaders with an understanding of how emerging (or AI type) technologies are created and how they work and to provide a foundation for thinking strategically and ethically about their use in a variety of settings. This is a non-technical class: no coding knowledge is required.

PADM-GP.4503
1.5 points

The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.

PADM-GP.2902
3 points

Multiple regression is the core statistical technique used by policy and finance analysts in their work. In this course, you will learn how to use and interpret this critical statistical technique. Specifically you will learn how to evaluate whether regression coefficients are biased, whether standard errors (and thus t statistics) are valid, and whether regressions used in policy and finance studies support causal arguments.

PADM-GP.4148
1.5 points

The past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational methods to analyze such datasets. Such methods, developed in the closely related fields of machine learning, data mining, and artificial intelligence, provide a powerful set of tools for intelligent problem-solving and data-driven policy analysis.

PADM-GP.4147
1.5 points

The past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational methods to analyze such datasets. Such methods, developed in the closely related fields of machine learning, data mining, and artificial intelligence, provide a powerful set of tools for intelligent problem-solving and data-driven policy analysis.

PADM-GP.4506
1.5 points

This 7-week course exposes the students to the application and use of data analytics in setting public policy. The course does so by teaching introductory technical programming skills that allow students to learn and apply Python code on pertinent public policy data, while emphasizing on applicability. The course is accompanied by readings for each class in order to contextualize why data analytics supplements but doesn’t replace the student / professional role in setting public policy.

PADM-GP.4505
1.5 points

R is a powerful open source language and environment for statistical computing and graphics. R provides a wide selection of statistical and graphical techniques. It is rapidly becoming the leading language in data science and statistics. R can easily tackle linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering and more.

PADM-GP.2505
3 points

The goal of this course is to develop the key data analytics skill sets necessary to inform evidence-based policy. Its design offers hands-on training in how to make sense of and use large scale real world heterogeneous datasets in the context of addressing real world problems. The main learning objectives are to develop a better understanding of how to develop and apply new techniques to analyze social issues using data from a variety of different sources. It is designed for graduate students who are seeking a stronger foundation in data analytics.

URPL-GP.4650
1.5 points

Students will learn the fundamentals of web development with HTML, CSS, and Javascript, and github.   Using Free and Open Source Spatial Data tools, students will learn to bring their maps to life on the web as interactive experiences.  Use tools like QGIS, CartoDB and PostGIS.  Final project will be an interactive web map around an Urban topic of your choosing.

This course will involve programming, some experience is preferred but not required. Contact the instructor for introductory coding resources to review before class.   Personal Laptops are required.

PADM-GP.4119
1.5 points

In our increasingly data-reliant and data-saturated society, people who understand how to leverage data to generate insights have the power to change the world. Data visualization and storytelling is a crucial skill for policy and data analysts, communications and marketing professionals, and managers and decision-makers within nonprofits, social organizations and the government. With the advent of visualization tools that do not require coding, data storytelling in the digital age is also an attainable skill set for people with varying levels of technical ability.

PADM-GP.2172
3 points

The goal of this course is to provide students with an introduction to advanced empirical methods. We begin by discussing a framework for causal inference and how randomized controlled trials provide a simple and powerful template for thinking about causal questions. We then develop a sequence of advanced empirical methods as alternatives to randomized trials, in settings where experiments are infeasible or not desirable. In particular we discuss regression discontinuity, matching methods, difference-in-differences and panel data, and instrumental variables.

PADM-GP.4501
1.5 points

Research is an important part of the policy process: it can inform the development of programs and policies so they are responsive to community needs, it can help us determine what the impacts of these programs and policies are, and it can help us better understand populations or social phenomena. This half-semester course serves as an introduction to how to ethically collect data for research projects, with an in-depth look at focus groups and surveys as data collection tools. We will also learn about issues related to measurement and sampling.

PADM-GP.4504
1.5 points

The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.