MySQL Course

by Alter Institute Claim Listing

MySQL is an open-source relational database management system. It's widely used for managing and manipulating structured data. MySQL stores data in tables with predefined schemas and supports SQL for querying and updating data.

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Course Details

MySQL is an open-source relational database management system. It's widely used for managing and manipulating structured data. MySQL stores data in tables with predefined schemas and supports SQL for querying and updating data.

It offers ACID (Atomicity, Consistency, Isolation, Durability) compliance, ensuring data integrity. MySQL is scalable and can handle large datasets, making it suitable for various applications, from small websites to enterprise-level systems.

It supports various storage engines, allowing users to choose based on specific requirements. Additionally, MySQL provides features like replication, clustering, and strong security mechanisms, making it a popular choice for web applications and business solutions.

In MySQL training, classes are typically conducted through a combination of theoretical lectures and practical hands-on exercises. The curriculum covers fundamental concepts such as database design, SQL queries, normalization, and advanced topics like stored procedures and transactions.

Instructors often utilize multimedia presentations and interactive discussions to explain theoretical concepts, ensuring a comprehensive understanding of the MySQL database management system. Hands-on sessions are crucial, allowing participants to apply theoretical knowledge in a practical setting. Participants practice writing SQL queries, designing databases, and troubleshooting common issues.

Online platforms, virtual labs, or local server installations may be employed to provide a simulated real-world environment. Regular assessments and Q&A sessions enhance participant engagement and reinforce learning. Overall, MySQL training classes aim to equip participants with practical skills and theoretical knowledge essential for effective database management.

 

Syllabus:

  • Module 1: Introduction to Databases and MySQL
  • 1.1 Understanding Databases
  • Definition and importance
  • Types of databases: relational, NoSQL, etc.
  • Introduction to MySQL
  • 1.2 Installing MySQL
  • Downloading and installing MySQL
  • Configuring basic settings
  • Connecting to the MySQL server
  • 1.3 MySQL Workbench
  • Overview of MySQL Workbench
  • Basic interface and functionalities
  • Module 2: MySQL Basics
  • 2.1 Data Types
  • Numeric, string, date, and time data types
  • Choosing appropriate data types
  • 2.2 Creating Databases and Tables
  • Creating databases
  • Defining tables and their structures
  • Primary keys and indexes
  • 2.3 Inserting, Updating, and Deleting Data
  • Using SQL INSERT, UPDATE, and DELETE statements
  • Understanding transactions
  • Module 3: Retrieving Data with SELECT
  • 3.1 SELECT Statement
  • Basic SELECT syntax
  • Retrieving specific columns
  • Filtering data with WHERE clause
  • 3.2 Sorting and Limiting Results
  • ORDER BY clause
  • LIMIT and OFFSET clauses
  • 3.3 Filtering and Joining Data
  • INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Filtering with JOIN conditions
  • Using aliases
  • Module 4: Advanced MySQL Queries
  • 4.1 Aggregating Data
  • GROUP BY clause
  • Aggregate functions: COUNT, SUM, AVG, MIN, MAX
  • 4.2 Subqueries
  • Writing and using subqueries
  • Correlated subqueries
  • 4.3 Indexing and Optimization
  • Understanding indexing
  • Optimizing queries for better performance
  • Module 5: MySQL Security
  • 5.1 User Authentication and Authorization
  • Creating users and granting privileges
  • Managing user access levels
  • 5.2 Securing MySQL Server
  • Configuring firewalls
  • Encrypting connections
  • Module 6: MySQL and Programming Languages
  • 6.1 Using MySQL with PHP
  • Connecting PHP with MySQL
  • Executing SQL queries in PHP
  • 6.2 Using MySQL with Python
  • Connecting Python with MySQL
  • Executing SQL queries in Python
  • Module 7: Database Design and Normalization
  • 7.1 Database Design Principles
  • Normalization and denormalization
  • Entity-Relationship Diagrams (ERD)
  • Module 8: Backup and Recovery
  • 8.1 Backing Up and Restoring Databases
  • Using mysqldump for backups
  • Restoring databases from backups
  • 8.2 Point-in-Time Recovery
  • Recovering data to a specific point in time
  • Module 9: Case Study and Project
  • 9.1 Real-world Application
  • Building a simple database application
  • Implementing learned concepts in a project
  • 9.2 Project Presentation
  • Showcasing the developed project
  • Q&A and feedback
  • Erode Branch

    No 31, Annamalai Layout, behind Nalli Hospital, 1st-floor span Technologies building, Erode

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