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Explore Data Modelling and Analytics certification and training courses — delivered live by certified instructors.
Data Modelling and Analytics is a technology published by Oracle that enables organizations to transform raw data into meaningful business insights through structured data representation. It solves the challenge of inconsistent, complex, or siloed data by creating unified semantic models that align technical data sources with business terminology. Within Oracle’s analytics stack, it serves as the foundational layer for reporting, visualization, and enterprise-wide data governance. Key components include Semantic Modeler, a browser-based tool for building governed enterprise models; Model Administration Tool, a developer-focused application for advanced data modeling; Dataset Editor, used for self-service data preparation and blending; and Data Model Editor, which structures data for pixel-perfect reporting. These tools support fact and dimension tables, hierarchies, joins, parameters, event triggers, and bursting definitions to enable scalable, secure, and reusable data assets. This technology is designed for data modelers, BI analysts, and IT professionals who need to standardize enterprise metrics, enforce data governance, and deliver trusted, business-ready data to end users across diverse reporting platforms.
SQL Fundamentals
Write SELECT, JOIN, GROUP BY and aggregate queries
Star Schema Design
Model fact and dimension tables at correct grain
ETL Pipeline Basics
Extract, transform and load data from multiple sources
Data Normalization
Apply third normal form to optimize database structure
OLAP Concepts
Understand online analytical processing for fast aggregations
Data Governance Principles
Implement referential integrity, uniqueness and null checks
The building blocks every Data Modelling and Analytics solution is made of
See what your official Data Modelling and Analytics certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.
Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.
Every factor that determines whether you actually pass your Data Modelling and Analytics exam — rated across every training format available.
| Criteria | Koenig | Free Platform | Self-Paced Platform | ALP Provider | Legacy Provider | Note |
|---|---|---|---|---|---|---|
| Trainer Expertise and Credentials | ||||||
| MCT-Certified Trainers | — | |||||
| Live Instructor-Led Delivery | — | |||||
| 1-on-1 Private Training | Partial | — | ||||
| Microsoft Partner Standards | ||||||
| Official Microsoft ALP Status | — | |||||
| Official Microsoft Courseware | Partial | — | ||||
| ESI / EA Credits Accepted | Partial | — | ||||
| Flexibility and Global Access | ||||||
| Any-Day / Flexi Start | Partial | — | ||||
| On-Site or Fly-Me-A-Trainer | Partial | Partial | — | |||
| Global Delivery Reach | Partial | — | ||||
| Results and Verified Trust | ||||||
| N/A — Removed (no public verified pass rates) | — | — | — | — | — | Row omitted: unverified for this vendor |
| Entry Price for Fundamentals Course | ~$745 · best value | Free | $15-30/mo | ~$1,500+ | N/A | — |
| Verified Learner Reviews | 18,400+ · 4.9★ | N/A | Limited | Limited | Limited | — |
Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.
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