SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises
4.42 (5351 reviews)
30 993
students
12.5 hours
content
Apr 2025
last update
$99.99
regular price
What you will learn
Create basic SQL Queries
Create advanced SQL Queries
Create Left, Right, Inner and Full Outer joins
Create new tables, alter existing tables in Databases
Normalize Databases
Understand database design
Understand first, second and third normal form schemas
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Our Verdict
SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL serves as an informative and straightforward introduction to SQL for beginners. Real-world databases offer practical examples, providing a strong foundation in basic SQL concepts. However, important SQL features aren't fully explored, leaving the content less appealing for those preparing for job interviews. Technical issues such as low audio volume hamper the learning experience, but the easy-to-understand instructors help to alleviate these concerns. Although not without its flaws, this course provides sufficient insight into the world of SQL and database design for newcomers.
What We Liked
- The course provides a solid foundation in SQL basics, making it approachable for beginners.
- Real-world databases are used for practical applications throughout the course.
- Clear and succinct instructors provide good basic tips that will be useful for further studies.
- Real world data sets offer practical applications for learning.
Potential Drawbacks
- The course lacks some advanced SQL features, such as 'Having', 'In/Not in', Aggregation Functions, Triggers, Functions, Views and Security.
- Important but not advanced features are overlooked, making it less appealing for interview preparation.
- Minimal practical problems with obvious answers limit the hands-on experience.
- Sound issues affect multiple lessons, causing inconsistent volume levels.
Related Topics
1036342
udemy ID
09/12/2016
course created date
31/07/2019
course indexed date
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