AInterview Institute
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Data

Data Science

Job-focused preparation for data science interviews: statistics intuition, Python/SQL analysis, modeling tradeoffs, experimentation, and clear communication — text-first coding practice without a remote notebook sandbox.

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You can read the curriculum below without an account. Enrollment opens your private study path.

Curriculum phases

  1. 1. Data Science Foundations

    • · DS Role and Interview Loop
    • · Problem Framing and Metrics
    • · Stats Intuition for Interviews

  2. 2. Analysis Tools

    • · SQL for Data Science
    • · Python Analysis Patterns
    • · Exploratory Analysis Discipline

  3. 3. Modeling

    • · Supervised Learning Tradeoffs
    • · Validation and Leakage
    • · Feature Engineering Thinking

  4. 4. Interview Readiness

    • · Experimentation and Causal Lite
    • · Data Science Storytelling
    • · Data Science Mock Prep

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