The Applied Data Analytics programs are targeted at government agency staff. It provides training in core data analytics techniques by working on specific projects using real-world micro-data. The projects are built around pre-built Jupyter notebooks which provide project "recipes" that can be customized for specific use cases as well as applied to later projects in participants’ agencies.
|Online, example: here (incl. security requirements)||About 2 hours total|
|Intro to SQL & Python
|Online videos with web-based content; weekly online 1 hour group discussions||Up to 10 hours|
|Introduce the program, data, and projects; includes data exploration, visualization, record linkage, and introduction to Machine Learning||3 days, on-site|
|Self-paced project work with teams; instructors available for assistance||Up to 10 hours, suggest at least 2 hours per week|
|Focus on projects with sessions on Inference and Confidentiality||3 days, on-site|
|Complete team projects; recommend weekly check-in with an instructor||Up to 10 hours, suggest at least 2 hours per week|
|Present final projects via webex||30 minutes per team; up to 3 hours|
UPCOMING TRAINING PROGRAMS
The Ohio State University is hosting the Winter, 2019 Coleridge Initiative Applied Data Analytics training program, sponsored by the Overdeck Family 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 hands-on instruction of using micro data in SQL and Python for the following tasks: data management, record linkage, data visualization, and machine learning.
In this Applied Data Analytics training program, 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 hands-on instruction of using micro data in SQL and Python for the following tasks: data management, record linkage, data visualization, and machine learning. This program is supported by the Overdeck Family Foundation and the Schmidt Futures program.
The Coleridge Initiative’s program in Applied Data Analytics provides participants the opportunity to choose their own projects or build on projects completed in select earlier programs. The focus of this program will be working with confidential data that examine the labor market and other outcomes of high needs populations, such as ex-offenders or welfare recipients.
Highlights From Previous Programs
The first six programs were partially sponsored by the US Census Bureau, the Laura and John Arnold Foundation, the Overdeck Family Foundation, and the Ewing Marion Kauffman Foundation. The thematic focus of each program was: Criminal Justice, Welfare programs, High Need Populations, and Economic Development. Over 250 government agency staff and researchers participated in these four training programs. Here is what they had to say:
"...knowing what's possible has helped tremendously in influencing the reality of our projects"
"I also co-authored a journal article on predicting farms that would need to apply for new loans which wouldn’t have happened without the machine learning skills I learned in the class."
"My colleague and I have found several ways to use Python to make our work processes more efficient."
"...hearing the topics in the class taught by experts felt as though a veil was lifted."
"I've been able to use tools to help streamline my work and to identify opportunities to utilize machine learning in the City."
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