What It Prepares Learners to Do
Learners develop practical capability in data preparation, analysis, reporting, visualization, and business communication.
Technology & AI
Data Analytics & Business Intelligence
Turn operational data into dashboards, analysis, reports, and decision-ready insights.
Pathway Overview
Focused Learning With a Practical Purpose
Who It Is For
Beginners, graduates, coordinators, and professionals who work with operational or business information.
What Makes It Practical
Each phase turns raw information into documented analysis, visual evidence, and a management-ready narrative.
What Learners Build
Evidence That Can Be Reviewed and Presented
Projects make the pathway visible. Learners document their process, explain decisions, respond to feedback, and improve the final work.
- Business dashboard
- Cleaned dataset
- SQL portfolio
- Python analysis notebook
- Management presentation
- Analytics capstone
Learning Structure
A Five-Phase Applied Progression
- 01Foundation
Build essential concepts, context, and professional working habits.
- 02Core Tools
Develop confidence with the tools and environments used in practice.
- 03Applied Projects
Turn instruction into documented, reviewable practical work.
- 04Workplace Simulation
Respond to realistic briefs, constraints, decisions, and feedback.
- 05Portfolio Review
Present evidence, explain choices, and improve the final work.
Major Modules
Eight Focused Learning Chapters
Modules are designed as connected stages. Open each chapter for a concise view of its purpose.
01Data Foundations
Understand data types, quality, questions, and ethical handling.
02Spreadsheet Analysis
Structure, analyze, and communicate operational data in spreadsheets.
03SQL for Analysis
Query, join, summarize, and validate structured datasets.
04Data Preparation
Clean, transform, document, and quality-check data for analysis.
05Business Intelligence
Build clear dashboards and decision-focused visual reporting.
06Python Analysis
Use guided notebooks for exploration, analysis, and repeatable workflows.
07Insight Communication
Present findings, limitations, and recommendations to stakeholders.
08Analytics Portfolio
Combine data preparation, analysis, dashboards, and presentation.
Final Applied Project
Decision Intelligence Capstone
Learners analyze an operational dataset, build a management dashboard, document findings, and present practical recommendations.
- Python analysis notebook
- Management presentation
- Analytics capstone
Completion Evidence
Certificate of Completion and Documented Skills
Learners who complete the required modules, assessments, applied projects, and final capstone may receive an AIDT Certificate of Completion for this Career Core Pathway.
Completion evidence may include
- Modules completed
- Capstone title
- Assessment status
- Skills demonstrated
- Project or portfolio link
- Training dates
External Certification Preparation Support
Preparation Support Where Relevant
Selected learning may support preparation for relevant external vendor exams where applicable. Registration, fees, eligibility, and scheduling are handled by the respective providers.
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