Data Science Methodologies: Making Business Sense

In this course, Neelam Dwivedi brings software eeering and data mining methodologies to data scientists, then applies these ideas by taking a simple business need through an entire life cycle-hosting a model, consuming it in a web application, and setting up its D pipeline. Neelam bs by explaining the methodologies used in the course and how they are combined. She shows you where to b in developing architecture and deploying a model, then explains how larger web applications may consume the model as a service. Neelam covers how to stage your model and the app, as well as how to plan ahead with an overall roadmap. She concludes with thoughts on how to further applications of data science methodologies.




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