SQL Mastery

Categories: Data Analytics
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About Course

Desired Outcome:
Upon completing this course, students will have a solid foundation in SQL, enabling them to write SQL queries, manage databases, and understand the principles of database management and data retrieval.

What Will You Learn?

  • SQL Fundamentals: Understand the basics of SQL, including querying databases and manipulating data.
  • Database Design: Learn to create efficient database structures.
  • Advanced Querying: Master complex SQL queries for data retrieval and analysis.
  • Data Manipulation: Acquire skills for updating, deleting, and inserting data.
  • Joins and Relationships: Explore how to connect data from multiple tables.
  • Aggregation: Learn to summarize and analyze data using functions like SUM, AVG, and COUNT.
  • Subqueries: Understand how to use subqueries for advanced data filtering.
  • Performance Optimization: Optimize SQL queries for speed and efficiency.
  • Indexing: Implement indexing for faster data retrieval.
  • Transactions: Manage data integrity with transactions and locks.
  • Views and Stored Procedures: Create reusable code with views and stored procedures.
  • Security: Ensure data security through user access control.
  • Real-World Applications: Apply SQL skills to practical scenarios, including data analysis and report generation.

Course Content

Module 1: Introduction to SQL and Database Setup
Lessons: What is SQL? Types of Databases Setting Up a Database Understanding Tables and Records Learning Objectives: By the end of this module, students will understand what SQL is, different types of databases, how to set up a database, and the basics of tables and records. Real-World Applications: Apply SQL to create, manage, and retrieve data from databases. Activities: Create a simple database Insert data into a table

  • Introduction to SQL
    00:00
  • Database Setup and Installation
    00:00

Module 2: SQL Querying Techniques
Lessons: SELECT Statement WHERE Clause Sorting Data Filtering Data Learning Objectives: After this module, students will be able to write basic SQL queries using the SELECT statement, filter data using the WHERE clause, and sort data effectively. Real-World Applications: Retrieve specific data from a database for analysis or reporting. Activities: Write SQL queries to retrieve specific data Sort and filter data

Module 3: Data Modification and Transaction Management
Lessons: INSERT, UPDATE, and DELETE Statements Modifying Records Data Validation Transactions and Rollbacks Learning Objectives: By the end of this module, students will understand how to insert, update, and delete data in a database, validate data, and manage transactions effectively. Real-World Applications: Modify and validate data in databases while maintaining data integrity. Activities: Insert, update, and delete records in a database Perform data validation

Module 4: Indexing and Performance Optimization
Lessons: JOIN Operations Aggregating Data Subqueries and Nested Queries Indexing and Performance Optimization Learning Objectives: After this module, students will be able to perform JOIN operations, aggregate data using SQL functions, work with subqueries, and optimize database performance. Real-World Applications: Query and analyze data from multiple tables, aggregate data for reporting, and optimize database operations. Activities: Perform JOIN operations on multiple tables Write subqueries and nested queries Optimize query performance with indexing

Module 5: Stored Procedures and Functions

Module 6: Advanced Data Analysis and Reporting

Module 7: Security and Access Control

Module 8: Real-world Project: Database Design and Optimization

Quizzes, Assignments, and Assessments

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