Certified Python Intelligence Professional – (CDIP-PP)

The CDIP-PP is a professional certification assessment designed to validate an individual’s applied proficiency in data intelligence and analytics using Python. It confirms mastery of data extraction, transformation, modeling, visualization, and automation through Python-based tools, libraries, and standardized governance practices.

This certification ensures that holders can design, execute, and document end-to-end data intelligence workflows in Python — applying statistical reasoning, automation, and governance to deliver reproducible analytical outcomes consistent with the Council of Certified Data Intelligence Professionals (CDIPS) standards.

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🧭 Modules, Projects, and Examinations

The Certified Python Intelligence Professional – (CDIP-PP) certification is structured into five specialized modules and a comprehensive capstone project designed to evaluate both technical expertise and governance-aligned analytical competence.

Component	Purpose	Evaluation Method	Weight
Module Assignments	Assess applied skills in data manipulation, modeling, visualization, and automation using Python.	Submission of completed deliverables from 2 of 4 case study options per module.	45%
Module Examinations	Evaluate conceptual and applied knowledge of Python for analytics, automation, and governance.	Timed online examination with multiple-choice and scenario-based coding challenges.	25%
Capstone Project	Demonstrate full-cycle data intelligence workflow and governance compliance in Python.	End-to-end project submission including notebooks, scripts, and report documentation.	25%
Professional Conduct & Documentation	Evaluate reproducibility, ethics, and adherence to CDIPS governance standards.	Review of code documentation, methodology notes, and data lineage.	5%

Passing Requirement: Minimum overall score of 70% across all components.
Reassessment Policy: Candidates may retake individual modules or the capstone within 60 days of result issuance.

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🧩 Module Overview

Module	Focus Area
Module 1	Python Data Foundations
Module 2	Data Wrangling & Transformation with Pandas
Module 3	Data Modeling & Analytics
Module 4	Data Visualization & Reporting
Module 5	Automation & Governance
Final Project	Python Data Intelligence Capstone

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📂 Study Guides

Each module includes an optional Study Guide that offers structured exercises and example workflows to reinforce module learning objectives.

Contents Include:

• Verified dataset source links (e.g., AdventureWorks Dataset – Kaggle Verified Source)
• Sample Jupyter Notebooks for guided tasks
• Workflow blueprints for reproducible analysis
• Optional step-by-step guidance for project preparation

Note: Study Guides are optional and designed to assist with project completion, offering practical examples and templates for real-world analytics in Python.

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🧠 Capstone Project Overview

The CDIP-PP Capstone Project serves as the professional benchmark for data intelligence proficiency using Python. Candidates are required to demonstrate their ability to:

1. Import and clean large, multi-source datasets using Pandas or SQLAlchemy.
2. Perform data modeling, transformations, and statistical analysis.
3. Build and visualize analytical dashboards with Matplotlib or Plotly.
4. Automate repetitive processes with scripts or scheduled workflows.
5. Document analytical processes, results, and governance protocols in a final Jupyter Notebook report.

Datasets such as AdventureWorks, HR Analytics, or Global Retail Data (Kaggle verified) are approved sources for capstone use.

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🏅 Certification Issuance

Upon completing all modules, examinations, and the final capstone project — and meeting governance and documentation standards — candidates are formally awarded:

🎖️ CDIP-PP Certificate (PDF Format)
🧾 Digital Badge (CDIPS Registry-Verified)

This credential certifies the holder as a Certified Python Intelligence Professional, capable of delivering governed, automated, and reproducible data intelligence workflows that align with CDIPS international certification standards.