What will you learn in this PostgreSQL for Everybody Specialization Course
Utilize PostgreSQL for effective database management and operations.
Explore database design principles and normalization techniques.
Implement advanced SQL queries, including joins, subqueries, and regular expressions.
Work with JSON data and perform natural language processing within PostgreSQL.
Understand database architecture, scaling strategies, and NoSQL integration using Elasticsearch.
Program Overview
1. Database Design and Basic SQL in PostgreSQL
⏳ 13 hours
Learn the fundamentals of database design, including table creation, relationships, and basic SQL operations such as CRUD (Create, Read, Update, Delete).
2. Intermediate PostgreSQL
⏳ 16 hours
Delve deeper into SQL with topics like data normalization, advanced querying techniques, stored procedures, and handling text and dates.
3. JSON and Natural Language Processing in PostgreSQL
⏳ 16 hours
Explore how to store, index, and query JSON data, and implement natural language processing features within PostgreSQL.
4. Database Architecture, Scale, and NoSQL with Elasticsearch
⏳ 10 hours
Understand the architectural aspects of databases, compare SQL and NoSQL systems, and learn to integrate PostgreSQL with Elasticsearch for scalable solutions.
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Job Outlook
Equips learners for roles such as Database Administrator, Data Analyst, and Backend Developer.
Applicable in industries like finance, healthcare, technology, and e-commerce.
Enhances employability by teaching practical skills in SQL, data modeling, and database integration.
Supports career advancement in data-driven and software development roles.
Specification: PostgreSQL for Everybody Specialization
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FAQs
- No prior experience is necessary; the course starts from basics.
- Covers relational database concepts and SQL fundamentals.
- Suitable for beginners interested in database management.
- Hands-on exercises build practical PostgreSQL skills.
- Gradually introduces advanced SQL queries and functions.
- Open-source and highly extensible.
- Supports advanced features like JSON, indexing, and full-text search.
- Known for reliability, scalability, and data integrity.
- Suitable for both small projects and enterprise-level applications.
- Compatible with multiple programming languages and platforms.
- Database administrator (DBA) roles.
- Backend or full-stack developer positions.
- Data analyst and data engineer roles.
- Cloud and DevOps engineers managing database infrastructure.
- Roles in startups, tech companies, and enterprise IT teams.
- Includes exercises writing SQL queries in PostgreSQL.
- Projects simulate real-world database tasks.
- Covers database creation, modification, and data manipulation.
- Reinforces learning through practical problem-solving.
- Encourages building a portfolio of database projects.
- Core SQL concepts are transferable to MySQL, Oracle, and SQL Server.
- Database design and querying skills are universal.
- PostgreSQL-specific features enhance advanced database management.
- Prepares learners for multi-database environments.
- Valuable for both relational and hybrid database applications.
