Program Overview

SOCIAL ISSUES, URBAN CONTEXTS, REAL DATA

The public sector has entered a new era where technology is providing innovative forms of data never seen before. These data, combined with traditional survey and administrative data, provide a rich resource for data-driven decisions in public policy and the public sector. However, many institutions and professionals working in the field are struggling to keep up with the skills and technologies required to meet the emerging needs in the modern workplace.

The Training Program in Applied Data Analytics is the first-of-its-kind program to give working professionals an opportunity to develop the key computer science and data science skill sets necessary to harness the wealth of newly-available data and to creatively address real civic problems. The program’s design offers hands-on training in the context of real challenges facing the sector, by providing direct collaboration among government agencies and students in the program. The results of project collaborations become part of a broader, shared and open analytics platform to create a sustainable ecosystem of information sharing in this growing area of research.

TARGET AUDIENCE

This interdisciplinary program is designed for working professionals and PhD-level graduate students who are seeking a stronger foundation in data analytics and software development. The program is designed to address public sector challenges, but is applicable to a broad range of fields such as sociology, public health, computer science, survey statistics and federal departments. Completion of this program will equip participants with the tools necessary to effectively manage and undergo technology and analytics projects, as well as open the door to the fields of statistical analysis, software development and data science.

LEARNING OUTCOMES

  • Learn how to think about data analysis to solve social problems using and combining large quantities of heterogeneous data from a variety of different sources.
  • Evaluate which data are appropriate to a given research question and statistical need.
  • Identify the different data quality frameworks and apply them to big data problems.
  • Learn the basic computational skills required for big data analytics, typically not taught in social science, economics, statistics or survey courses.
  • Identify new approaches to creating and effectively displaying information to stakeholders.

COST

Class price: $15,000

Government and non-profit participants: $10,000

Register by 11/15/2016 and save $500.

A limited number of scholarships, which pay for the full cost of the class, are available for government employees. Applications are accepted and evaluated on a rolling basis.  For details, view the Scholarship Application Instructions.

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