Data
Analysis Documentation
Learn Analysis Documentation with the Practica AI Coach
The Practica AI Coach helps you improve in Analysis Documentation by using your current work challenges as opportunities to improve. The AI Coach will ask you questions, instruct you on concepts and tactics, and give you feedback as you make progress.Curated Learning Resources
Data Science Practice 101: Always Leave An Analysis Paper TrailRandy advocates that data documentation makes the work of data scientists easily traceable and reproducible. This is particularly important when working on ad-hoc analysis requests, as it is easy for output to end up in a temporary directory with little context. There are several ways to package analysis deliverables, including Excel files, CSV files, slide decks, dashboards, and shared documents, in order to make them free-standing and easily traceable.
Related Skills
- ROI for Data Work
- MLOps Platforms
- Prioritization for Data Work
- Structuring Data Teams
- Effective Dashboards
- SQL
- Machine Learning
- Data Science Career Ladders
- Data Engineering
- Neural Networks
- Analytics
- Data Infrastructure
- Cohort Analysis
- Data Tools
- ETL
- Data Soft Skills
- Data Dictionary
- Data Governance
- Data Roadmaps
- Event Data
- Personalization
- OCR
- Data Warehouse
- Deep Learning
- Sampling Algorithms
- Data Intuition
- Linear Regressions
- Data Cleaning