Student Ranking
Big Data with Python course leaderboard
Last updated: 2026-04-03 20:56 | Ranking updated weekly
Course Statistics
Leaderboard
#2 19wk
@aurorafezu
8.2
✓ On Time
clusteringk-means
#1 19wk
@katitto
8.7
✓ On Time
pcatime series
#3 19wk
@luuuuru
7.0
✓ On Time
Challengers
@fernandoramostrevi-ctrl⏳ -25%
#7
#8
Full Ranking
| Pos | Student | Grade | Status | Project | Fork |
| #1 (19wk) | @katitto | 8.7 ✓ | ★ Outstanding | almache_katherine | See Dashboard |
| #2 (19wk) | @aurorafezu | 8.2 ✓ | ★ Outstanding | fernandez_aurora | See Dashboard |
| #3 (19wk) | @luuuuru | 7.0 ✓ | ✓ Approved | camacho-lucia | See |
| #4 (15wk) | @CarlosRivasplata | 5.5 ⏳-25% | ✓ Approved | rivasplata_carlos | See |
| #5 (15wk) | @fernandoramostrevi-ctrl | 5.1 ⏳-25% | ✓ Approved | ramos_fernando | See Dashboard |
| #6 (3wk) | @camilogrey | 4.3 ⏳-25% | ⋯ Under Review | [raiz:camilogrey] | See |
| #7 | @alxz0212 | 0.0 | ⋯ Under Review | Alexis_Mendoza | See Dashboard |
| #8 | @jaaafarr | 0.0 | ⋯ Under Review | Bousaid_Jaafar | See |
Tips to Improve
Personalized suggestions based on the Final Project rubric
@katitto(8.7/10)1 tip
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@aurorafezu(8.2/10)2 tips
➤ Tu PROMPTS.md solo tiene 0 prompts (minimo 3). Anade mas: los de infraestructura, pipeline, y analisis.
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@luuuuru(7.0/10)2 tips
⭐ BONUS: No tienes dashboard HTML interactivo. Un dashboard con Plotly demuestra dominio de visualizacion y sube la nota de estructura significativamente.
⚠ CRITICO: No tienes PROMPTS.md. Documenta los prompts reales que usaste con la IA. Sin este archivo tu nota baja un 30%.
@CarlosRivasplata(5.5/10)3 tips
⭐ BONUS: No tienes dashboard HTML interactivo. Un dashboard con Plotly demuestra dominio de visualizacion y sube la nota de estructura significativamente.
➤ Tu PROMPTS.md solo tiene 0 prompts (minimo 3). Anade mas: los de infraestructura, pipeline, y analisis.
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@fernandoramostrevi-ctrl(5.1/10)1 tip
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@camilogrey(4.3/10)4 tips
⭐ BONUS: No tienes dashboard HTML interactivo. Un dashboard con Plotly demuestra dominio de visualizacion y sube la nota de estructura significativamente.
➤ Tu PROMPTS.md solo tiene 0 prompts (minimo 3). Anade mas: los de infraestructura, pipeline, y analisis.
➤ PROMPTS.md no tiene PARTE 2 (Blueprint). Anade tu plan de trabajo inicial: que quisiste hacer, como lo planeaste, que cambiaste sobre la marcha.
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@alxz0212(No submission yet)1 tip
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
@jaaafarr(No submission yet)2 tips
⭐ BONUS: No tienes dashboard HTML interactivo. Un dashboard con Plotly demuestra dominio de visualizacion y sube la nota de estructura significativamente.
➤ Anade capturas de pantalla de tus conversaciones con la IA (capturas/prompt_A.png, etc.). Esto demuestra autenticidad.
Grade Distribution
λ Reading guide
D (Doc) — Documentation grade (PROMPTS.md): quality, authenticity and structure of the submitted prompts.
C (Cod) — Code grade: Python files, notebooks, SQL, configs and project structure.
8.7
Nota — The final grade combines Doc (60%) and Cod (40%). Missing PROMPTS.md results in an additional -30%.
✓ On Time
On-time submission: the work was submitted before the ranking was published. No penalty applied.
⏳ -X%
Late submission: the work was submitted after the ranking was published. A proportional penalty is applied:
0-24h: -15% | 1-3 days: -25% | 3-7 days: -40% | >7 days: -50%
⚙ Ranking Rules
Δ Class of 2026 (18 students)
Submission window: Feb 13 - Mar 31, 2026. On-time submissions (before Feb 13) keep their grade intact. Late submissions receive progressive penalty: 0-24h (-15%), 1-3 days (-25%), 3-7 days (-40%), 7+ days (-50%). After March 31, grades are permanently frozen.
∞ Community (annual ranking)
Anyone can complete the course and appear in their year's ranking (2026, 2027...). Requirements: fork at least 30 days old with real submissions. Separate from Class of 2026. Same evaluation criteria.
Σ Evaluation Criteria
D (Doc, 60%): quality, authenticity and structure of PROMPTS.md. C (Cod, 40%): Python files, notebooks, SQL and project structure. Missing PROMPTS.md incurs an additional 30% penalty. Final grade may be affected by similarity to the professor's example.
Community Ranking
∞
No community participants yet. Fork the repository, complete the course and appear here!
The ranking updates automatically with each evaluation. Submit your work to appear!
Generated by: QUASAR (Quality Unified Automated Student Assessment & Ranking) | 2026-04-03 20:56
Course: Big Data with Python - From Zero to Production Professor: Juan Marcelo Gutierrez Miranda | @TodoEconometria Hash ID: 4e8d9b1a5f6e7c3d2b1a0f9e8d7c6b5a4f3e2d1c0b9a8f7e6d5c4b3a2f1e0d9c Methodology: Progressive exercises with real data and professional tools
Academic references: - Downey, A. (2015). Think Python: How to Think Like a Computer Scientist. O'Reilly Media. - McKinney, W. (2022). Python for Data Analysis, 3rd Ed. O'Reilly Media. - Kleppmann, M. (2017). Designing Data-Intensive Applications. O'Reilly Media.
