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    Data science you can defend in a job interview.

    Course · Data ScienceDuration · 12 weeksLevel · Beginner — Intermediate

    Twelve weeks across Python, SQL, statistics, and machine-learning fundamentals — applied to a real dataset and a portfolio project you can talk about.

    What you'll walk away with

    Outcomes by program end.

    • 01Fluent pandas, NumPy, and SQL
    • 02Statistics and experiment design for business problems
    • 03Three notebooks shipped to GitHub with clear write-ups
    • 04Capstone analytics project on a real dataset

    Week-by-week

    Syllabus in order.

    1. Week 1–2
      Python for data

      pandas, NumPy, Jupyter, reproducibility.

    2. Week 3–4
      SQL

      Joins, window functions, query plans.

    3. Week 5–6
      Statistics

      Distributions, hypothesis tests, A/B reasoning.

    4. Week 7–8
      ML fundamentals

      Regression, classification, evaluation.

    5. Week 9–10
      Visualisation & story

      Plotly, Matplotlib, exec-ready dashboards.

    6. Week 11–12
      Capstone

      Real dataset, real question, public write-up.

    Next course

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