COMIDOC
CouponsFreeTopics
COMIDOC
CouponsVerified CouponsFreeFree CoursesTopicsTopics
React
AdvertiseSubmit Course

About

Udemy coupons monitored continuously

Verified offers, course alerts, precise filters, and browser detection built for learners who want coupons that still work.

TelegramTwitterFacebookRSS

Browser tools

Find coupons directly on Udemy

The extension surfaces an available Comidoc coupon while you browse a Udemy course page.

ChromeFirefoxEdgeSafari

Useful links

Discover

  • Blog
  • Daily Freebies
  • Most Wanted Coupons
  • Coupon Statistics
  • Top Contributors
  • Udemy Sale Calendar

Services

  • Pricing
  • Advertise Here
  • Guest Post
  • Developer API
  • Submit Coupon

Comidoc

  • About
  • Contact
  • Data License
  • Privacy
  • Service status
  • Terms

© 2017–2026 Comidoc

v6.8.65

Independent coupon discovery for Udemy learners

Data Modeling and Relational Database Design using ERwin

Course that teaches how ERwin Data modeler can help you create & maintain sound relational database designs

  1. Topics
  2. IT & Software
  3. Data Modeling

Data Modeling and Relational Database Design using ERwin

InstructorHaris Kilikotu
Duration4h 16m
Students34.4K
Rating4.5 (8,204)
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
Access
Email alert
We will email you when a verified deal appears
Open on UdemyCurrent Udemy price

More Data Modeling courses

Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026]Kirill Eremenko4.5 (34.9K)21h 11m
Microsoft Power BI Desktop: Advanced DAX for Data AnalysisMaven Analytics (2,000,000+ Learners)4.7 (15.6K)11h 28m
Free
MongooseJS Essentials - Learn MongoDB for Node.jsPatrick Schroeder4.5 (3,195)44m
Learn Database Design with MySQLEduonix Learning Solutions4.5 (4,142)6h 15m
Power BI & Business Intelligence 2025Daniel Lledó Martínez4.5 (2,875)7h 12m
Master Power BI - De A à ZFelipe Mafra4.7 (14.4K)20h 35m
Advanced Power BI: Data Modeling, DAX & Dashboard MasteryStarweaver Group4.4 (1,024)10h 42m
Free
Curso Power BI - Crea un Dashboard desde ceroDaniel Lledó Martínez4.7 (2,456)1h 33m
Comidoc Analysis

Relational Design Theory and ERwin Tooling Fundamentals

Strengths

Clear Instructional Delivery

Instructional signals highlight highly effective explanations of notation and core concepts, making the material accessible for beginners.

Structured Theory and Tooling

The curriculum provides a structured approach to normalization stages and essential ERwin functions like forward and reverse engineering.

Limitations

Software Version Discrepancies

Learner signals suggest difficulties with current software versions, specifically regarding the availability of certain editions mentioned in the lessons.

Best suited to

  • Beginner data modelers
  • Students of relational database theory
  • Professionals learning ERwin mechanics

Less suited to

  • Learners seeking advanced or exhaustive tool features
  • Those requiring up-to-date software versioning guidance

Comidoc Score

6.5/10

Worth considering
Beginner-friendly

Comidoc verdict

The learning path begins with the fundamental mechanics of ERwin, covering essential tasks like forward engineering and reverse engineering. This is paired with a theoretical foundation in normalization, moving from First Normal Form through to Boyce-Codd Normal Form.

Instructional clarity serves as a primary strength, with learners noting that complex notation and concepts are explained clearly. However, the practical application of these skills may be hindered by software versioning issues; some signals point to difficulties in accessing specific editions mentioned in the curriculum. Note that while the Udemy update label suggests recent activity, several critical reviews regarding software availability were created before this date, meaning the update does not prove a correction.

This course is best suited for beginners looking for a clear introduction to data modeling theory and basic tool usage, provided they can navigate current software availability independently.

Score breakdown

Curriculum depth
8.0

The curriculum covers a wide range of topics including normalization stages and dimensional modeling, though some signals suggest the coverage may not be exhaustive.

Applied learning
6.5

Practical application is supported through modeling scenarios and exercises, though some signals suggest a need for more complex real-world problems.

Clarity & experience
7.3

Learner signals consistently praise the clarity of explanations and the ease of understanding the presented notation.

Currency & reliability
3.5

Multiple signals indicate that the software versions or editions discussed may no longer align with current offerings.

Audience fit
5.0

Variable Feature Depth

Some signals indicate that the coverage of specific tool functionalities and complex design scenarios may be limited.

The curriculum aligns with the target audience of data modelers and architects, though software versioning issues may impact the experience for some.

More Related Topics

  • Relational Database Design636
  • ER Modeling6
  • ERwin Data Modeler1
  • DAX Formulas & Functions153
  • Microsoft Power BI922
  • DAX Functions126
  • Mongoose ODM19
  • Data Architecture & Modeling147
  • Data Modeling for BI54
  • Power BI Data Visualization140