I designed the principles to help avoid the chaos introduced by the dynamics, complexity and constraints of data projects. You will find the principles helpful if you work in Data Science, Data Mining, Statistical Analysis, Machine Learning or any field that uses these techniques.
The Guerrilla Analytics Principles have been applied successfully to many high profile and high pressure projects in domains including Financial Services, Identity and Access Management, Audit, Fraud, Customer Analytics and Forensics.
You can read more about the Guerrilla Analytics Principles in my book Guerrilla Analytics: A Practical Approach to Working with Data. Here you will find almost 100 practice tips from across the Data Science life cycle showing you how to implement these principles in real-world situations.
Do you have your own data science experiences and principles? Let me know by getting in touch!