TECHNICAL REFERENCE LIBRARY
References for the work in front of you.
Trusted references for learning, analysis, modeling, and project work.
- Python Docs
- NumPy Docs
- pandas Guide
- +4 more
- UCI ML Repo
- Kaggle Datasets
- Data.gov
- EDA Checklist
- Model Eval
- Project Brief
- +2 more
CURATED INDEX
Resource Library
References
Official Technical References
Authoritative documentation and reference material for details beyond a lesson.Python Documentation
Canonical language and standard-library reference for Python lessons and practice.
NumPy Documentation
Authoritative reference for arrays, vectorization, indexing, broadcasting, and numerical operations.
pandas User Guide
Reference for DataFrame operations, cleaning, grouping, joins, missing data, and analysis workflows.
Matplotlib Documentation
Reference for plotting APIs, visualization choices, and chart customization.
scikit-learn User Guide
Reference for preprocessing, pipelines, models, evaluation, selection, clustering, and ML workflows.
PostgreSQL Documentation
PostgreSQL-specific reference for SQL syntax and behavior beyond the portable concepts taught in Learn.
NIST/SEMATECH Statistical Methods Handbook
A credible reference for statistical methods, distributions, exploratory analysis, variation, and interpretation.
Datasets
Dataset Portals
Open places to find data for practice, analysis, and portfolio work.UCI Machine Learning Repository
Well-known learning datasets for analysis and machine-learning experimentation.
Kaggle Datasets
Broad dataset discovery for portfolio exploration and extending Build work; competitions are optional.
Data.gov
Real public datasets for analysis, visualization, and portfolio exploration.
Templates
DataSci10X Templates
Short, reusable field guides for the work around learning: analysis, evaluation, projects, and interviews.EDA Checklist
A repeatable first-pass process for inspecting a new dataset before analysis or modeling.
Model Evaluation Checklist
A practical guardrail against shallow or misleading model evaluation.
Project README Outline
A scan-friendly structure for turning Build work into a clear portfolio artifact.
Take-Home Assignment Checklist
A focused way to manage an analytics or data-science take-home without overengineering it.
Project Storytelling & Interview Rehearsal
A concise outline for rehearsing one of your actual Build projects in an interview.