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ibm data-science

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  • 1.1 The Ten Iterative Stages
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Module 1: The Data Science Methodology•Lesson 1

1.1 The Ten Iterative Stages

### The IBM Data Lifecycle
1. Business Understanding
2. Analytic Approach
3. Data Requirements
4. Data Collection
5. Data Understanding
6. Data Preparation
7. Modeling
8. Evaluation
9. Deployment
10. Feedback
Python 3.11
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Interactive Challenge
+50 XP
Challenge Objective

Print the total count of IBM data methodology stages: 'STAGES_COUNT: 10'.

solution.py
UTF-84 SpacesAuto-saved
cpython3.11:~/workspace
CPython 3.11.8 (WASM)
$python3 -u solution.py
Click "Compile & Run" (or press Ctrl + Enter) to compile AST, verify bytecode, and execute the solution.