
K-12 and Beyond: Leveraging SLDS Systems to Understand Long-Term Outcomes Applied Data Analytics Training |
The Coleridge Initiative will be delivering four fully funded Applied Data Analytics training programs for state government employees and their partners focused on education pathways between high school, college, and the workforce, and evaluating the intermediate and long-term outcomes associated with these pathways. Applications are due by May 28, 2025.
Please note this application requires upload of required attachments for each team member: resume/CV, personal statement, and supervisor statement. Priority will be given to teams that apply with a designated team lead embedded within the state (team leads will need to provide a resume/CV and a personal statement), and otherwise applications will be considered in the order they are received. Personal and supervisor statements should be no longer than one page. More information is available here. Any questions should be emailed to training@coleridgeinitiative.org.
General Team Information
State teams should consist of four to six participants (exclusive of a potential team lead), with at least two having strong programming skills (ideally in R and/or SQL). Teams should feature participants from multiple state agencies or partners.
Please note this application requires upload of required attachments for each team member: resume/CV, personal statement, and supervisor statement. Priority will be given to teams that apply with a designated team lead embedded within the state (team leads will need to provide a resume/CV and a personal statement), and otherwise applications will be considered in the order they are received. Personal and supervisor statements should be no longer than one page. More information is available here. Any questions should be emailed to training@coleridgeinitiative.org.
General Team Information
State teams should consist of four to six participants (exclusive of a potential team lead), with at least two having strong programming skills (ideally in R and/or SQL). Teams should feature participants from multiple state agencies or partners.