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The project has adopted modern technologies that are currently popular in the industry and academia. The tools and techniques used are very relevant.
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!
I believe the course is great for the aspiring Data Engineer.
This liveProject is for intermediate-level Python programmers. If your background is in data, you’ll learn how you can advance your isolated models to production. If you’re a developer, you’ll see how you can create and incorporate machine learning into your software products. To begin this liveProject, you will need to be familiar with the following:TOOLS
In this liveProject, you’ll learn to use the Python data ecosystem, Docker, and monitoring tools like Prometheus and Grafana to create a complete end-to-end data platform. This kind of integrated data tool is in high demand across industries.
geekle is based on a wordle clone.