Undergraduate Certificate in Extreme Programming for Data Scientists
-- ViewingNowThe Undergraduate Certificate in Extreme Programming for Data Scientists is a comprehensive course designed to equip learners with essential skills in extreme programming, a methodology that improves software development and delivery. This certificate course is crucial for data scientists who want to stay ahead in the rapidly evolving tech industry.
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⢠Introduction to Extreme Programming (XP): Understanding the fundamentals of XP, its principles, and values.
⢠Agile Data Science: Applying Agile methodologies to data science projects, including XP practices such as pair programming and continuous integration.
⢠Test-Driven Development (TDD) for Data Science: Implementing TDD in data science projects, writing automated tests for data processing and modeling code.
⢠Version Control with Git and GitHub: Managing code and collaboration using Git and GitHub, including branching, merging, and pull requests.
⢠Extreme Programming Tools: Utilizing XP tools such as continuous integration servers, issue trackers, and communication platforms.
⢠Data Science XP Practices: Applying XP practices such as refactoring, simple design, and customer collaboration to data science projects.
⢠Pair Programming in Data Science: Implementing pair programming techniques for data science tasks, including data cleaning, processing, and modeling.
⢠Continuous Integration and Deployment in Data Science: Setting up and maintaining continuous integration and deployment pipelines for data science projects.
⢠Code Reviews for Data Science: Performing code reviews for data science projects, ensuring code quality and maintainability.
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