This repository provides a comprehensive handbook designed to assist in preparing for data science analytical interviews, with a specific focus on Meta.
The GitHub Pages for this repository is available at: Data Science Analytical Handbook
This repository is organized into the following sections:
| Section | Location | Description |
|---|---|---|
| Main Handbook | Data-Science-Analytical-Interview-Preparation-Handbook.MD |
Comprehensive guide to Meta's data science interview process |
| Jekyll Pages | _pages/ |
Web-ready content for GitHub Pages site |
| Hands-On Projects | Analytical-HandsOn-Projects/ |
Practical data analysis projects |
| Simulations | Simulations/ |
Interactive statistics notebooks |
| Resource | Location | Description |
|---|---|---|
| 21-Day Prep Guide | supplementary/21-day-prep-guide.md |
Structured interview preparation plan |
| SQL Example Problems | supplementary/sql-example-problems.md |
Complex SQL problems for practice |
| Statistics Examples | supplementary/statistics-probability-example-questions.md |
Statistics and probability practice questions |
| Advanced SQL Patterns | supplementary/Advanced-SQL-Patterns+Techniques.md |
Advanced SQL techniques and patterns |
| Behavioral Interview | supplementary/behavioral-mock-interview.md |
Behavioral interview preparation guide |
| Key Insights | supplementary/key-insights-tips-meta.md |
Meta-specific tips and insights |
| Topic | Location |
|---|---|
| Strategy & Architecture | Best-Practices/Deep_Dive/1_Strategy+Architecture.md |
| Data Architecture | Best-Practices/Deep_Dive/2_Data_Architecture.md |
| Data Governance | Best-Practices/Deep_Dive/3_Data_Governance.md |
| Version Control | Best-Practices/Deep_Dive/4_Version_Control.md |
| Data Quality Management | Best-Practices/Deep_Dive/5_Data_Quality_Management.md |
| Data Storage Management | Best-Practices/Deep_Dive/6_Data_Storage_Management.md |
| ETL Processing Frameworks | Best-Practices/Deep_Dive/7_ETL_Processing_Frameworks.md |
| Orchestration & Workflow | Best-Practices/Deep_Dive/8_Orchestration_Workflow_Fundamentals.md |
| Data Transformation | Best-Practices/Deep_Dive/9_Transformation_Fundamentals.md |
| Data Acquisition & Ingestion | Best-Practices/Deep_Dive/Data_Acquisition_and_Ingestion.md |
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Start with the Handbook: Begin by reading
Data-Science-Analytical-Interview-Preparation-Handbook.MDfor a comprehensive overview. -
Follow the 21-Day Prep Guide: Use
supplementary/21-day-prep-guide.mdfor a structured preparation plan. -
Review Foundational Knowledge: Study statistics concepts in
supplementary/statistics-probability-example-questions.md. -
Practice SQL: Work through problems in
supplementary/sql-example-problems.md. -
Run Interactive Simulations: Explore Jupyter notebooks in
Simulations/for hands-on statistics practice. -
Prepare for Behavioral Questions: Review
supplementary/behavioral-mock-interview.md. -
Visit the Website: Explore the full content at GitHub Pages.
This handbook is a collaborative effort, and contributions are welcome! If you have suggestions, find errors, or want to add more content, please feel free to open an issue or submit a pull request.
See LICENSE for details.