MySQL, SQL Training

by WebAsha Technologies Claim Listing

MySQL | SQL Training is a comprehensive program designed to provide individuals with the essential skills and knowledge required to become proficient in managing and querying databases using MySQL and SQL (Structured Query Language).

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2 Months

Course Details

MySQL | SQL Training is a comprehensive program designed to provide individuals with the essential skills and knowledge required to become proficient in managing and querying databases using MySQL and SQL (Structured Query Language). 

This training covers database design, data manipulation, and advanced querying techniques, enabling participants to efficiently work with data and databases. 

Whether you're a beginner looking to start your journey in database management or an experienced professional seeking to enhance your SQL skills, this training program equips you with the expertise needed to handle data effectively and make data-driven decisions. Join us to unlock the power of databases and SQL for your career or projects.

 

Course Highlights:

  • Introduction to Databases:
    • Understanding the importance of databases in modern applications.
    • Overview of relational databases and MySQL.
  • Database Design and Schema Creation:
    • Principles of database design.
    • Creating and configuring database schemas, tables, and relationships.
  • SQL Fundamentals:
    • Introduction to SQL and its role in database management.
    • Writing basic SQL queries for data retrieval and manipulation.
  • Data Manipulation with SQL:
    • Inserting, updating, and deleting records in a database.
    • Performing data transformations and calculations.
  • Advanced SQL Queries:
    • Complex querying using SQL joins, subqueries, and aggregate functions.
    • Query optimization techniques for improving database performance.
  • Database Security:
    • Implementing access control and user privileges.
    • Securing data through encryption and authentication.
  • Indexing and Optimization:
    • Utilizing indexes for faster data retrieval.
    • Techniques for optimizing database performance.
  • Backup and Recovery:
    • Implementing database backup and recovery strategies.
    • Ensuring data integrity and availability.
  • Stored Procedures and Functions:
    • Creating and using stored procedures and functions for automation.
    • Enhancing database functionality through custom code.
  • Data Modeling and Normalization:
    • Principles of data modeling and normalization.
    • Designing efficient database structures.
  • Transactions and Concurrency Control:
    • Understanding transactions and their management.
    • Ensuring data consistency in multi-user environments.
  • Integration with Programming Languages:
    • Connecting MySQL databases to various programming languages (e.g., Python, PHP, Java).
    • Developing database-driven applications.
 
Modules:
  • Module 1: Introduction to Databases
    • What is a Database?
    • Types of Databases (Relational, NoSQL, etc.)
    • The Role of SQL in Database Management
    • Overview of MySQL
  • Module 2: MySQL Basics
    • Installing MySQL
    • MySQL Client and MySQL Workbench
    • Connecting to MySQL Server
    • Creating Databases and Tables
    • Data Types in MySQL
    • CRUD Operations (Create, Read, Update, Delete)
  • Module 3: SQL Fundamentals
    • Understanding SQL Syntax
    • SELECT Statement
    • Filtering Data with WHERE
    • Sorting Data with ORDER BY
    • Aggregating Data with GROUP BY
    • Working with Functions (COUNT, SUM, AVG, MAX, MIN)
  • Module 4: Data Modification
    • INSERT INTO Statement
    • UPDATE Statement
    • DELETE FROM Statement
    • Managing Data with Transactions (BEGIN, COMMIT, ROLLBACK)
  • Module 5: Data Retrieval
    • JOIN Operations (INNER, LEFT, RIGHT, FULL)
    • Subqueries
    • UNION and UNION ALL
    • Using Aliases
    • Pivoting Data with PIVOT and UNPIVOT (if applicable)
  • Module 6: Advanced SQL Concepts
    • Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
    • Common Table Expressions (CTEs)
    • Working with Dates and Times
    • Handling NULL Values
    • Optimizing Queries and Indexing
  • Module 7: Database Design
    • Principles of Database Design
    • Normalization and Denormalization
    • Creating Relationships (One-to-One, One-to-Many, Many-to-Many)
    • Indexing and Optimization
  • Module 8: Security and User Management
    • User Authentication and Authorization
    • Granting and Revoking Privileges
    • Best Practices for Database Security
  • Module 9: Stored Procedures and Functions
    • Creating and Managing Stored Procedures
    • Using Input and Output Parameters
    • Creating User-Defined Functions (UDFs)
  • Module 10: Triggers
    • Introduction to Triggers
    • Creating and Managing Triggers
    • Use Cases for Triggers
  • Module 11: Backup and Recovery
    • Database Backup Strategies
    • Performing Backups and Restores
    • Point-in-Time Recovery
  • Module 12: Case Studies and Real-World Projects
    • Applying SQL Skills to Real Data Scenarios
    • Developing and Managing a Practical Database Project
  • Module 13: Performance Optimization
    • Query Optimization Techniques
    • Profiling and Analyzing Query Performance
    • Database Scaling Strategies
  • Module 14: Emerging Trends (Optional)
    • Introduction to NoSQL Databases
    • Big Data and SQL
    • Cloud Databases and SQL
  • Module 15: Final Project
    • Building a Complete Database Application
    • Designing and Implementing a Database Solution
  • Module 16: Certification and Exam Preparation (Optional)
    • Overview of SQL Certification Exams
    • Practice Exams and Exam Preparation Tips
 
Prerequisites:
  • While MySQL | SQL Training is designed to accommodate individuals with various backgrounds, having certain prerequisites can enhance your learning experience:
  • Basic Computer Skills: Proficiency in using a computer and familiarity with common software applications is essential.
  • Understanding of Data Concepts: A basic understanding of data concepts such as tables, rows, columns, and data types will be beneficial.
  • SQL Proficiency (Optional): While not required, having some prior experience with SQL or database management can be advantageous.
  • Programming Knowledge (Optional): Familiarity with programming concepts can be helpful but is not mandatory.
  • Database Interest: An interest in working with databases and a willingness to learn and practice SQL are key prerequisites.
  • Pune Branch

    First Floor, Laxmi Kunj (Beside Maha Nagar CO-Bank), Pune

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