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The Team Data Science Process (TDSP) is an agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently. TDSP helps improve team collaboration and learning. It contains a distillation of the best practices and structures from Microsoft and others in the industry that facilitate the successful implementation of data science initiatives. The goal is to help companies fully realize the benefits of their analytics program.
The TDSP is comprised of the following key components:
A data science lifecycle definition
A standardized project structure Infrastructure and resources for data science projects Tools and utilities for project execution
Note: You can follow a complete example of this process using Azure Machine Learning:
This workshop guides you through a series of exercises you can use to learn to implement the TDSP in your Data Science project, using only Python in a Notebook. You can change the Setup and Lab cells in this Notebook to use another language, another platform, and with more or fewer prompts based on your audience's needs.