This repository contains analyses and dashboard notebooks focused on trainee performance data. It provides visualizations and metrics to track training progress, identify skill gaps, and summarize cohort performance.
Trainee Dashboard Data Analysis helps learning teams and mentors understand trainee outcomes by converting raw training data into actionable dashboards and summary reports. Typical use cases:
- Monitor weekly/daily progress for cohorts
- Identify trainees needing intervention
- Track assessment scores and completion rates
- Compare cohorts and trainers
- Aggregations and KPI calculations (pass rates, average score, progression)
- Visualizations for timeline, distribution, and cohort comparison
- Exportable reports (CSV / PNG / PDF)
- data/ — dataset folders (raw/processed)
- notebooks/ — EDA and dashboard notebooks
- scripts/ — preprocessing and KPI calculation scripts
- dashboards/ — optional Streamlit / Dash apps
Typical fields:
- trainee_id, cohort_id, date, assessment_type, score, completion_status, trainer_id, module, time_spent
If your data differs, edit the preprocessing scripts to map columns accordingly.
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Clone repo:
git clone https://github.com/anish-murshetwar/Trainee-DashBoard-Data-Analysis.git
- Run notebooks for exploratory analysis and KPI generation.
Fork, create a branch, and open a pull request. Share sample anonymized data for faster review.
Maintainer: anish-murshetwar