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Udacity

Software Engineering for Data Scientists

via Udacity

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Overview

Prepare for advanced data science work with software engineering best practices. Explore OOP, testing, areproducibility, and build a FastHTML dashboard that makes machine learning insights interactive and actionable.

Syllabus

  • Object-Oriented Programming
    • Explore object-oriented programming (OOP), including classes, instances, magic methods, inheritance, and polymorphism. Utilize professional coding patterns for efficient Python software development.
  • Code Reproducibility
    • Use and create virtual environments, write Python packages, manage file paths in a way that enables cross-platform compatibility, and ensure code quality through testing and linting.
  • Data Science Dashboards
    • Dig into deployment options for ML models using web servers, web forms, dynamic endpoints, and interactive dashboards with Python and FastHTML.
  • Project: Data Science Dashboard
    • Build a dashboard web application that allows managers to monitor an employee's performance and their predicted risk of recruitment.

Taught by

Jo-L Collins

Reviews

5 rating at Udacity based on 1 rating

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