From the course: Data Science Methodologies: Making Business Sense

Models and the real world

From the course: Data Science Methodologies: Making Business Sense

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Models and the real world

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- [Neelam] Data science models are fun to build and use, but their role in the real world is far greater than that. They must align with business needs, fit into large enterprise IT infrastructures, and be easy to maintain and update. This may seem challenging, but there are already some best practices in software engineering that data science projects can benefit from. We will go over several methodologies at a high level from the world of data mining and software engineering. Then we'll take a simple business need through an entire life cycle, hosting a model, consuming it in a web application, and also setting up a CI/CD pipeline so that we can keep the model and the application continuously updated as business needs evolve. I'm Neelam. I enjoy finding interesting solutions to complex problems, like how to make data science projects better aligned with business. Join me in this LinkedIn Learning course as we apply software engineering principles in the world of data science.

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