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Skills Mentoring

Skills Mentoring Guide

Skills mentors support participants in the Skills Academy — working through DataCamp, eCornell, or other platform content with practical guidance and accountability.

Skills Mentor Roles

RoleWhat You Do
DataCamp CoachGuide participants through data science tracks, review projects
eCornell Study PartnerWeekly accountability sessions, assignment discussion
Career Skills CoachCV review, interview prep, LinkedIn optimization

Typical Session Structure (60 min)

  1. Check-in (10 min) — progress on coursework since last session
  2. Working session (35 min) — tackle a specific concept, project, or exercise together
  3. Career application (10 min) — how does this skill connect to their goals?
  4. Next steps (5 min) — what to complete before next session

Working with DataCamp

If your participant is on DataCamp:

  • Review their course progress dashboard before sessions
  • Focus on applied exercises, not just video completion
  • Encourage project-based learning from their DataCamp Projects tab

Working with eCornell

eCornell courses have weekly submission deadlines. Check in on these and offer feedback on assignments.

Scheduling

Sessions are arranged directly with your participant. Log completion in the TEEI system so it counts toward impact reporting.