Learn popular SQL dialects, PostgreSQL & Oracle SQL. Learn SQL concepts & compare syntax of PostgreSQL & Oracle SQL
β±οΈ Length: 9.7 total hours
β 4.46/5 rating
π₯ 12,902 students
π September 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- Embark on a foundational journey into relational databases, mastering data retrieval and manipulation using the industry’s two most prevalent SQL dialects: PostgreSQL and Oracle SQL.
- Meticulously crafted for complete beginners, it offers a clear, intuitive pathway to understanding core SQL concepts from the ground up, requiring no prior database experience.
- A unique comparative learning methodology enables you to grasp fundamental SQL principles, observing nuanced syntax differences and commonalities between PostgreSQL and Oracle SQL, significantly broadening your versatility and marketability.
- You will delve into practical, real-world scenarios, learning to interact effectively with databases to extract, transform, and analyze information, laying a robust groundwork for any data-centric role.
- Beyond just memorizing commands, this course aims to cultivate a deep conceptual understanding of how data is structured, queried, and optimized within modern relational database systems, fostering a problem-solving mindset.
- With an updated curriculum slated for September 2025, you are guaranteed to learn the most current and relevant practices, ensuring your skills remain sharp and in demand.
- Its concise 9.7 total hours offer impactful learning without extensive time commitment, celebrated by over 12,902 students with an impressive 4.46/5 rating.
- Requirements / Prerequisites
- No prior SQL or database knowledge is required: This course is structured to guide absolute beginners through all essential concepts from scratch.
- A basic understanding of computer operations and familiarity with navigating software applications is beneficial.
- An eagerness to learn and a logical thinking approach to problem-solving will greatly enhance your learning experience.
- Access to a stable internet connection and a personal computer (Windows, macOS, or Linux) capable of running standard web browsers and potentially light database client software for practice exercises.
- A willingness to engage in hands-on practice, as the course emphasizes practical application and syntax comparison.
- Skills Covered / Tools Used
- Developing a robust understanding of relational database management system (RDBMS) architecture and data models.
- Mastering data querying and extraction to pinpoint and retrieve precise information from large datasets.
- Proficiency in filtering, ordering, and segmenting data to generate meaningful subsets for analysis and reporting.
- Expertise in aggregating and summarizing data, transforming raw information into actionable insights through various statistical functions.
- Skillfully navigating multi-table database relationships through advanced joining techniques and combining results from multiple queries.
- Adopting best practices for data manipulation and transformation using built-in string, mathematical, and date-time functions.
- Practical experience with pattern matching and regular expressions to identify specific data formats or anomalies.
- Understanding the strategic implementation and impact of database objects like VIEWS for simplifying complex queries and INDEXES for optimizing query performance.
- Constructing sophisticated multi-layered queries using subqueries to solve complex data retrieval challenges efficiently.
- Hands-on interaction with the PostgreSQL database environment and its specific command syntax.
- Practical application and syntax comparison within the Oracle SQL database ecosystem, highlighting key distinctions and similarities.
- Cultivating strong analytical and problem-solving skills applicable to diverse data management scenarios.
- Benefits / Outcomes
- Gain immediate practical competency in two widely used and in-demand SQL dialects, significantly enhancing your professional profile.
- Independently write, execute, and optimize complex SQL queries to extract, analyze, and report on data from various sources.
- Establish a solid foundational understanding of database principles, preparing you for advanced SQL topics, data engineering, or data science roles.
- Develop the confidence to interact with different relational database systems, making you a versatile asset in any technology-driven organization.
- Unlock career opportunities in data analysis, business intelligence, database administration, and software development, even at an entry level.
- Improve your logical thinking and problem-solving abilities by tackling real-world data challenges with SQL.
- Understand how to efficiently manage and structure data, leading to more performant and maintainable database solutions.
- Empower yourself to make data-driven decisions by being able to directly access and interpret crucial business information.
- PROS
- Dual-Dialect Advantage: Provides practical expertise in both PostgreSQL and Oracle SQL, making you highly adaptable across enterprise environments.
- Beginner-Friendly Approach: Designed for learners with no prior SQL experience, ensuring a smooth, comprehensible learning curve.
- Current and Relevant Content: Scheduled for a September 2025 update, guaranteeing you learn the most up-to-date syntax and best practices.
- High Student Satisfaction: Evidenced by a strong 4.46/5 rating from over 12,902 students, indicating effective teaching and valuable content.
- Efficient Learning Curve: The 9.7 total hours are focused and concise, allowing for significant skill acquisition without a prolonged commitment.
- Practical Comparison Focus: Direct syntax comparisons between PostgreSQL and Oracle SQL deepen understanding and reinforce learning of underlying concepts.
- CONS
- While comprehensive for beginners, the course may not delve into highly advanced database administration tasks, complex stored procedures, or niche performance tuning strategies required by senior database professionals.
Learning Tracks: English,Development,Database Design & Development
Found It Free? Share It Fast!