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google data-analytics

Curriculum Index

Current LevelInitiate
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  • 1.1 The Analytical Thinking Framework
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Course 1: Foundations — Data, Data, Everywhere•Lesson 1

1.1 The Analytical Thinking Framework

### The 6 Phases of Analysis
Google's data methodology structures analytical inquiries into six continuous phases:
1. **Ask:** Define the business problem and understand stakeholder expectations.
2. **Prepare:** Collect, extract, and store data securely while identifying bias.
3. **Process:** Clean dirty data, verify integrity, and check formatting errors.
4. **Analyze:** Perform calculations, group data, and identify statistical patterns.
5. **Share:** Visualize insights through charts and present findings clearly.
6. **Act:** Apply insights to resolve the initial business challenge.

example.pyPython 3.11
phases = ["ASK", "PREPARE", "PROCESS", "ANALYZE", "SHARE", "ACT"]
print(f"TOTAL_PHASES:{len(phases)}")
Python 3.11
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Interactive Challenge
+50 XP
Challenge Objective

Print the number of Google data analysis phases (6).

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.