Certified Data Intelligence Professional
Entry-level professional competence in data analytics and data engineering fundamentals.
About 140 hours of real coursework
Enroll in this PathwayData Intelligence Professional
Finishing every course is not what earns this credential. You earn it by demonstrating all 19 required competencies through real, assessed evidence, then bringing them together in the Project below — reviewed end to end, not graded on attendance.
Professional & Solution Architecture
- Identify the Underlying Problem
- Distinguish Problem from Proposed Solution
- Identify Stakeholders and Constraints
- Produce a Defensible Problem Statement
- Elicit Functional Requirements
- Identify Non-Functional Requirements
- Prioritize and Resolve Requirement Conflicts
- Produce Structured Requirements Documentation
- Decompose Requirements into Components
- Define Structure and Component Relationships
- Evaluate Architectural Trade-offs
- Document Architectural Decisions
- Document Interfaces and Dependencies
- Produce Professional-Facing Documentation
Professional Practice
- Requirements Interpretation & Communication
- Estimation & Planning
- Stakeholder Communication
- Professional Presentation & Defense
- Handover & Knowledge Transfer
Course Sequence
"A 4-6 month realistic analytics project: problem definition, data exploration, analysis, visualization, stakeholder communication, and follow-up on real impact. Real-world constraints (actual data quality issues, business timeline, stakeholder needs), not a classroom exercise."
Included Modules
"Job search and portfolio presentation; the real differences between data analyst, data scientist, and data engineer roles; interviewing skills for data roles; the entry-level data role salary and opportunity landscape."
Included Modules
Skills Gained
- Data pipeline design and orchestration
- Statistical analysis and predictive modeling
- Business intelligence dashboarding
- Data warehouse and semantic layer design
- Machine learning model development
- Data quality and governance
- Stakeholder-facing data storytelling
- SQL-based data engineering
Professional Competencies
- • Requirements elicitation and stakeholder communication
- • Distinguishing the real problem from a proposed solution
- • Decomposing complex requirements into manageable components
- • System architecture design and trade-off evaluation
- • Documenting architectural decisions, interfaces, and dependencies
- • Structured requirements and technical documentation
- • Project estimation and planning
- • Professional presentation and defense of technical work
- • Knowledge transfer and project handover
Industry Tools
Integrated Data Intelligence Project
One data intelligence solution, architected, modeled, analyzed, delivered, documented and defended.
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1
Discover
Business/Data Problem Definition
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2
Define
Data Requirements Specification
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3
Architect
Data Architecture + Schema Design
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4
Engineer
Working data pipeline/analysis (repository or notebook)
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5
Execute
Deployed dashboard/report with validated results
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6
Professionalize
Full documentation/handover package
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7
Defend
Live panel defense
Ready to Start?
This program is part of the Data Intelligence Architect Pathway. You'll pick your starting cohort for Certified Data Intelligence Professional — the first program in the pathway — on the next step.
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