In this liveProject, you’ll close the gap between “data analyst” and “software engineer” by building a working data platform. You’ll join up with AnomalousDex Inc., a startup that specializes in personalized end-to-end data products, and create a working prototype of their anomaly detection platform to showcase to prospective customers. This requires connecting up multiple cross-discipline components, from data science to systems management.
This platform consists of three principal components: a service that serves the anomaly detection data model, the modeling platform, and a dashboard visualization tool. Your challenge is to develop all of these features, going hands-on with software architecture, data engineering, microservices, and dockerizing. You’ll also dive into the essentials of monitoring and metrics, and even train an unsupervised learning anomaly detection model!