What will you learn in Database Design and Basic SQL in PostgreSQL Course
How to use SQL in PostgreSQL to implement CRUD operations, manage database schema, and work in the
psql
console.Relationships modeling in relational databases: primary, foreign, and logical keys, as well as one-to-many and many-to-many structures.
Core principles of database design, including normalization and schema planning, grounded in real-world examples.
Comparisons between SQL and NoSQL design paradigms and when to use each.
Program Overview
Module 1: Introduction to SQL & CRUD
⌛ 1 week
Topics: History of relational databases, basic SQL operations (INSERT, SELECT, UPDATE, DELETE)
Hands-on: Building and manipulating tables using
psql
and CLI commands
Module 2: Single-Table SQL & Data Retrieval
⌛ 1 week
Topics: Filtering with WHERE, ordering with ORDER BY, SELECT DISTINCT, grouping basics
Hands-on: Query exercises on flat and simple relational datasets
Module 3: Relational Modeling: One-to-Many & Many-to-Many
⌛ 1 week
Topics: Entity relationships, join logic, referential integrity enforcement
Hands-on: Designing and querying normalized relational data structures
Module 4: Advanced Relationships, Indexing & Design Reflection
⌛ 1 week
Topics: Final schema designs for many-to-many relationships, normalization schemes
Hands-on: End-of-course modeling assignment building a working relational example
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Job Outlook
Skills in SQL and database design are fundamental for roles in backend development, data engineering, BI analysis, and digital analytics.
Proficiency in PostgreSQL is especially valued in tech industries, cloud-based applications, and data-driven enterprises.
Typical salary range: $70K–$110K+, depending on role and region.
Strong portfolio value for technical roles and system design planning.
Specification: Database Design and Basic SQL in PostgreSQL
|
FAQs
- No prior experience required; suitable for beginners.
- Introduces PostgreSQL setup, CRUD operations, and
psql
usage. - Explains relational database concepts, including primary and foreign keys.
- Covers normalization and schema design for practical applications.
- Ideal for learners wanting hands-on SQL and database modeling experience.
- Teaches entity relationships, one-to-many and many-to-many structures.
- Covers normalization techniques to reduce redundancy.
- Includes designing and querying real-world relational datasets.
- Introduces best practices for schema planning.
- Reinforces learning through hands-on assignments and exercises.
- Prepares learners for roles like Backend Developer, Data Analyst, or Data Engineer.
- Builds foundational skills for BI analysis, reporting, and analytics.
- Enhances employability in cloud, tech, and data-driven companies.
- Hands-on PostgreSQL experience adds value to professional portfolios.
- Teaches practical, industry-relevant SQL techniques.
- Four modules with 1 week each (total ~4 weeks).
- Covers SQL basics, single-table queries, relational modeling, and advanced relationships.
- Self-paced format allows flexible learning.
- Hands-on exercises included for practical experience.
- Suitable for learners looking for structured, short-term skill acquisition.
- Execute CRUD operations using
INSERT
,SELECT
,UPDATE
,DELETE
. - Apply filtering, ordering, grouping, and joins in queries.
- Practice creating and managing tables with real data.
- Implement normalized relational schemas for real-world scenarios.
- Skills directly transferable to backend development and analytics projects.