Inductive and Deductive Methods for Data Analytics Projects

Inductive and Deductive Methods for Data Analytics Projects

Deductive: Top-down approach. Take existing theories and apply to data

Inductive: Bottom-up approach. Observe data and derive a hypothesis.

Examples in Data Analytics:

  • Inductive: Analyzing customer purchase data to identify recurring patterns in buying habits, which can lead to new marketing strategies or product recommendations.
  • Deductive: Testing a marketing hypothesis about the effectiveness of a new ad campaign by comparing its performance against a control group. 

Ref: Internet/Google AI

In a data analytics project, you may use both of the approaches. Initially, you may use an inductive approach to understand and explore data. Then you use the deductive method to test a specific hypothesis.

Data Analytics, Machine Learning, Data Science