SQL Fundamentals Complet Course

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About Course

Unlock the power of data with SQL at Ngahtech! SQL (Structured Query Language) is the key to managing and manipulating databases, used by top companies around the world. Whether you’re a beginner or looking to enhance your skills, our course will teach you how to query, update, and optimize databases efficiently. From mastering basic queries to advanced data handling techniques, you’ll gain the practical skills needed for real-world applications. Join Ngahtech’s SQL course today and open doors to careers in data analysis, software development, and more!

Career Path After completion of this course

Earning an SQL certification from Ngahtech can open doors to several exciting and high-demand career paths in the tech and data industries. Here are some of the key career opportunities:

1. Database Administrator (DBA)

  • Role: Managing, configuring, and securing databases for organizations.
  • Skills Needed: SQL proficiency, database optimization, backup and recovery, security management.
  • Potential Growth: Senior DBA, Database Architect.

2. Data Analyst

  • Role: Extracting, analyzing, and interpreting data to help businesses make informed decisions.
  • Skills Needed: SQL querying, data visualization, reporting, data cleaning.
  • Potential Growth: Business Analyst, Data Scientist.

3. Business Intelligence (BI) Analyst

  • Role: Analyzing data to provide actionable business insights through reports and dashboards.
  • Skills Needed: SQL, data modeling, knowledge of BI tools (e.g., Power BI, Tableau).
  • Potential Growth: BI Manager, BI Developer.

4. SQL Developer

  • Role: Writing SQL queries and scripts to manage database systems and applications.
  • Skills Needed: Complex SQL queries, database architecture, performance tuning.
  • Potential Growth: Senior SQL Developer, Database Engineer.

5. Data Engineer

  • Role: Building and maintaining data pipelines and architectures for analytics and machine learning models.
  • Skills Needed: Advanced SQL, ETL processes, database design, cloud platforms.
  • Potential Growth: Data Architect, Big Data Engineer.

6. Software Engineer/Full-Stack Developer

  • Role: Integrating databases with applications, handling data persistence in web or mobile applications.
  • Skills Needed: SQL, programming languages (e.g., Python, JavaScript), back-end frameworks.
  • Potential Growth: Senior Developer, Solutions Architect.

7. Data Scientist

  • Role: Applying advanced data analysis techniques and machine learning to extract insights from data.
  • Skills Needed: SQL, statistics, machine learning, Python/R.
  • Potential Growth: Senior Data Scientist, AI/ML Engineer.

8. System Administrator

  • Role: Ensuring the efficient performance and security of databases as part of system administration.
  • Skills Needed: SQL, server management, performance monitoring.
  • Potential Growth: Network Engineer, IT Manager.

9. IT Consultant

  • Role: Offering technical expertise to optimize clients’ database systems and processes.
  • Skills Needed: SQL, problem-solving, database design.
  • Potential Growth: Solutions Consultant, Technical Consultant.

By earning an SQL certification at Ngahtech, you can equip yourself with the essential skills to pursue these lucrative career paths in the data-driven world. These roles are in high demand across industries like finance, healthcare, e-commerce, and tech, ensuring a promising career with plenty of growth opportunities.

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What Will You Learn?

  • Introduction to SQL
  • Overview of SQL and its role in managing databases.
  • Understanding relational databases (tables, rows, columns).
  • Database Management Systems (DBMS): MySQL, PostgreSQL, SQL Server.
  • 2. Basic SQL Queries
  • SELECT Statement: Retrieving data from one or more tables.
  • WHERE Clause: Filtering data based on conditions.
  • ORDER BY Clause: Sorting data in ascending or descending order.
  • LIMIT: Limiting the number of rows returned in the result.
  • 3. Data Manipulation (DML)
  • INSERT INTO: Adding new records to a table.
  • UPDATE: Modifying existing records in a table.
  • DELETE: Removing data from a table.
  • 4. Filtering and Conditional Logic
  • LIKE, IN, BETWEEN: Filtering results based on patterns, lists, or ranges.
  • AND, OR, NOT Operators: Combining multiple conditions in queries.
  • 5. Working with Multiple Tables
  • JOINs:
  • INNER JOIN: Fetching common data between two tables.
  • LEFT JOIN, RIGHT JOIN: Retrieving unmatched records.
  • FULL JOIN: Combining all records from multiple tables.
  • UNION and UNION ALL: Combining results of multiple queries.
  • 6. Aggregate Functions
  • COUNT, SUM, AVG, MIN, MAX: Performing calculations on data sets.
  • GROUP BY: Grouping data for aggregation.
  • HAVING Clause: Filtering groups of data after aggregation.
  • 7. Subqueries and Nested Queries
  • Writing queries within queries to handle complex data retrieval.
  • Correlated Subqueries: Subqueries that depend on the outer query.
  • 8. Data Definition Language (DDL)
  • CREATE TABLE: Defining a new table and its structure.
  • ALTER TABLE: Modifying existing tables (add, drop, modify columns).
  • DROP TABLE: Deleting tables and their contents.
  • 9. Constraints and Keys
  • Primary Key and Foreign Key: Ensuring data integrity and relationships between tables.
  • Unique, NOT NULL, CHECK Constraints: Enforcing rules for data validation.
  • 10. Views
  • Creating and using Views as virtual tables to simplify complex queries.
  • 11. Indexes and Performance Optimization
  • Indexes: Speeding up query performance.
  • Query Optimization Techniques: Best practices for writing efficient SQL queries.
  • 12. Transactions and Concurrency
  • Understanding Transactions: Ensuring consistency with BEGIN, COMMIT, ROLLBACK.
  • ACID Properties: Atomicity, Consistency, Isolation, Durability.
  • Locking Mechanisms: Handling multiple transactions simultaneously.
  • 13. Stored Procedures and Functions
  • Creating reusable Stored Procedures to automate SQL processes.
  • Using SQL Functions for complex operations.
  • 14. Triggers
  • Automating tasks with Triggers that execute in response to database events (e.g., INSERT, UPDATE, DELETE).
  • 15. User Access and Security
  • GRANT and REVOKE: Managing user permissions.
  • Role-Based Access Control for secure database management.
  • 16. Backup and Recovery
  • Database Backup: Safeguarding your data.
  • Restoration Procedures: Recovering data from backups.
  • 17. SQL Best Practices
  • Writing clean, efficient, and maintainable SQL code.
  • Avoiding common pitfalls in database management.

Course Content

Introduction to SQL

  • What is SQL
    00:00
  • What Is SQL Process
  • What are the Advantages of SQL

SQL Data Type

SQL Commands

Table Structure
Understanding tables, columns, rows, and the structure of relational databases. Primary Keys and Foreign Keys: Ensuring data integrity

Data Manipulation (DML)
INSERT INTO: Adding new records. UPDATE: Modifying existing data. DELETE: Removing records from a table.

Filtering and Conditional Logic
LIKE: Pattern matching for string filtering. BETWEEN, IN, and NOT IN: Specifying value ranges. AND, OR, NOT Operators: Combining multiple conditions.

Joining Tables
INNER JOIN, LEFT JOIN, RIGHT JOIN: Combining data from multiple tables based on relationships. Self Joins and Cross Joins: Special types of table relationships.

Aggregate Functions
COUNT, SUM, AVG, MIN, MAX: Performing calculations on sets of data. GROUP BY: Grouping data to perform aggregation. HAVING Clause: Filtering aggregated data.

Subqueries and Nested Queries
Using queries within queries to retrieve more specific data. Correlated Subqueries: A subquery that references columns from the outer query.

Database Design and Normalization
Understanding the importance of database design and normalization to reduce redundancy and improve efficiency.

Basic SQL Security
Managing user permissions with GRANT and REVOKE. Protecting sensitive data with proper access control.

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