I studied economics and actuarial studies but I have been developing applications/database over the course of my major career. Due to the mixed backgrounds, I become interested in full stack data product development. The term of data product is borrowed from data science specialization of Coursera while full stack development is from the developer community.
For statistical or machine learning analysis, a process may be considered roughly as following.
- Data extraction and processing
- Exploratory analysis
- Model fitting
- Presentation of outcomes
When it comes to programming, a similar one may be
- ETL (Extract, Transform, Loading)
- Develop an application (client/server-side if a web application)
- Deploy the application
Therefore, to me, developing a data product covers ETL, processing/cleansing data, performing analysis and delivering outcomes in a reproducible or automated way, preferably in the form of application, if it can be considered as full stack.
I hope to share what I’ve learned on my journey.
Last updated on Aug 8, 2015