TRAINING PROGRAM
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.
The first four 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 200 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."
Core Curriculum
The general format is 10 training days grouped into 2 modules of one week each. There is a primary focus on a different topic each day, as outlined below. In addition, participants are grouped in teams of up to five members to work through an analytic project that answers a specific research question formulated by the team.
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