Who State and local agency professionals with a masters’ degree or above with some emphasis in a quantitative field (e.g. statistics, economics or computer science) or at least two years working in a hands-on, data-oriented field.
What Training in core data analytics techniques by working on specific projects using real-world micro-data.
When February 1, 2020 through May 15, 2020
In-person training
  • Module 1, March 2-4, 2020
  • Module 2, April 20-22, 2020
Where The Ohio State University
John Glenn College of Public Affairs
Columbus, Ohio 43210

Need information about hotels, ground transportation and the training venue?

Cost $6,000 per individual participant. Teams of 2-4 participants receive a 20% discount. Teams of 5 or more receive a 20% discount for the 2nd-4th seats and a 40% discount for the 5th seat and each seat beyond that. A limited number of scholarships may be available for agency staff from states newly partnering with the Coleridge Initiative.
Apply Complete online application
Application submission: Rolling
Admission Decision: February, 2020

Need some help convincing your boss/colleagues they should go to training too, or just let you go? Here is some sample text that you might consider using.

The Ohio State University in Columbus, Ohio is hosting the Winter, 2020 Coleridge Initiative Applied Data Analytics training program, sponsored by the Gates Foundation. Participants will work in teams to define and complete a project related to Transitions in Education and Workforce. The program will provide up-to-date perspective on the use of administrative data for policy analysis, and instruction on how to manage and analyze micro data according to best practices. Instructors will facilitate hands-on coding of micro data in SQL and Python for the following tasks: data management, record linkage, data visualization, and machine learning.

With support from the program instructors, teams will analyze micro data from Ohio’s postsecondary education and workforce agencies to answer overarching questions. These questions are designed to be useful to state and local government, and serve as a model for decision making nationwide, such as:

  • What are the earnings and employment outcomes of various credentials and degrees?
  • To what extent are postsecondary students enrolling in majors that match to in-demand occupations?
  • What proportion of postsecondary graduates work in a job that is in their field of study?
  • How can we most accurately estimate occupation codes from the available education and industry data?
  • What are the various career pathways individuals follow?
  • What factors predict on-time graduation from college?
  • What factors predict post-graduation employment outcomes?

Training in the Coleridge Initiative focuses on the following skills

  1. Formal learning in SQL and Python packages necessary to analyze administrative data;
  2. Record linkage necessary to produce policy studies;
  3. Data visualization; and
  4. Machine learning.
Josh Hawley

Associate Professor and Director of the Ohio Education Research Center at Ohio State. Site Lead for the training. Dr. Hawley has directed the development of the Ohio Longitudinal Data Archive and regularly conducts research and evaluation with many state and local governments in Ohio.

Julia Lane

Professor, New York University. Dr. Lane is one of the leaders of the Coleridge Initiative and has spent a career working with a number of federal government agencies, including the U.S. Census, and currently the Office of Management and Budget. Dr. Lane was the force behind the development of the LEHD (Longitudinal Employer and Household Dynamics) program for Census.

Application submission: Rolling
Admission Decision February 1, 2020
Pre-work Complete by March 1, 2020
In-person training in Columbus, OH
  • Day 1 – Introduction
  • Day 2 – Record Linkage; Data Visualization
  • Day 3 – Project Work; Introduction to Machine Learning
Module 1: March 2-4, 2020
Project work March 5-April 19, 2020
In-person training in Columbus, OH
  • Day 4 – Machine Learning; Project Work
  • Day 5 – Inference; Project Work
  • Day 6 – Privacy, Confidentiality, and Ethics; Project Presentations
Module 2: April 20-22, 2020
Project Report Completion April 23-May 14, 2020
Presentation submission: May 7, 2020
Final presentations (Web-Ex): May 14-15, 2020
Four 30-minute presentations per day
Peer Feedback Due May 22, 2020
Final Reports Due June 3, 2020
What you will gain from this training?
  • A working knowledge of Python and SQL;
  • Better understanding of administrative records, including programs that link education and employment;
  • Practice actually writing programs that evaluate the effectiveness of educational services;
  • Access to the extensive network of researchers using the ADRF to improve administrative data systems.

© Ohio Education Research Center
Page Hall, 1810 College Road, Columbus, Ohio 43210

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