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Create a Data Platform for Real-time Anomaly Detection (liveProject) added to cart
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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.
Look inside
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 specialises 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 modelling 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!
This platform consists of three principal components: a service that serves the anomaly detection data model, the modelling 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!
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book and video resources
When you start your liveProject, you get full access to the following books and videos for 90 days.
prerequisites
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:TOOLS
- Basics of pandas
- Basics of Matplotlib
- Basics of scikit-learn
- Basics of Docker
- Basics of exploratory data analysis
- Basics of machine learning
- Basics of software engineering
you will learn
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.- Design a data platform architecture consisting of several Dockerized components
- Train an anomaly detection model with scikit-learn and deploy it in a web service
- Analyze and visualize data in Jupyter
- Monitor the web service and anomaly detection model with Prometheus and Grafana
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
I believe the course is great for the aspiring Data Engineer.
