Mysql Training
Master Data Management with Our MySQL Training Course! Learn how to design, manage, and query databases using MySQL — one of the world's most popular database management systems. This hands-on course covers essential SQL commands, data modeling, joins, and real-world database applications. Build practical, job-ready skills to organize, retrieve, and manage data efficiently for web, business, and analytics solutions.
1 monthsCourse duration
Classroom | OnlineMode of Delivery
09Capstone projects
Why should you do this course?
Learn and grow as a developer with our project based courses.
Build Reliable, Scalable Databases
Learn how to build powerful web apps from scratch using MongoDB, Express, React, and Node. This course is highly practical and project-based.
Optimize Databases for Performance
Master both frontend and backend technologies and become a job-ready full stack developer, capable of handling entire application flows.
Master Queries, Joins, and Reports
MERN stack is one of the most popular stacks used by top companies. This course prepares you for full stack developer roles with strong job prospects.
Unlock Data Insights with MySQL
Gain hands-on experience with Git, GitHub, REST APIs, JWT, MVC architecture, and deployment strategies used in real-world teams.
Starting from₹ 8000₹ 5000
LIVE BATCHKey Highlights
MySQL courselearn MySQL onlineMySQL database training
Live Projects
1 months duration
Certificate of Excellence/Completion
Placement assistance
Syllabus
Quickstart
Overview of the Journey
We offer live classes with expert instructors, weekly assignments to reinforce your learning, and fully practical training focused on real-world skills. You’ll work on hands-on projects throughout the course to build experience and confidence.
MYSQL Database
Introduction to MySQL
MySQL is an open-source Relational Database Management System (RDBMS) known for its performance, scalability, and ease of use. It provides a reliable platform for storing, organizing, and managing structured data, making it a popular choice for projects of all sizes.
Course Overview
Using SQL (Structured Query Language), MySQL allows efficient querying and management of data. This training course will cover MySQL’s core features, essential commands, and practical applications, preparing participants to design and manage relational databases effectively.
Basic SQL Terminology
Fundamental Concepts of Database Management
In database management, it’s essential to understand key concepts such as tables, which store data in structured formats, rows, representing individual records, and columns, defining the attributes of each record. Databases use primary keys to uniquely identify each row and foreign keys to create relationships between tables, ensuring data integrity and consistency. SQL (Structured Query Language) serves as the standard tool for interacting with databases, enabling users to efficiently query, insert, update, and delete data. This foundational knowledge is crucial for designing and managing relational databases effectively.
Installation
Installing MySQL and Setting Up Sample Data
Installing MySQL involves downloading the MySQL installer from the official website, running the setup wizard, and configuring essential server options such as password settings and database preferences. Once the installation is complete, users can download a sample database to practice with real-world data structures. The final step includes loading the sample data into the MySQL server, enabling hands-on experience with querying, managing, and analyzing data within a structured database environment.
MYSQL Constraints
Understanding Constraints in MySQL
In MySQL, constraints are essential rules applied to database tables to enforce data integrity and consistency. They define specific conditions that the data must satisfy, such as maintaining unique values with the UNIQUE constraint, ensuring valid relationships between tables using FOREIGN KEY constraints, or restricting data values through CHECK constraints. By preventing invalid, duplicate, or inconsistent data entries, constraints play a critical role in preserving the accuracy, reliability, and integrity of the database throughout its operation.
DDL DML & DCL
Data Defination Language
DDL statements define and manage the structure of the database, including creating and altering tables, indexes, and constraints. Examples include CREATE TABLE and ALTER TABLE.
Data Manipulation Language
DML statements manipulate the data stored in the database, allowing you to insert, update, and delete records. Common DML statements include INSERT, UPDATE, and DELETE.
Data Control Language
File handling in Python involves reading and writing files using functions like open(), essential for data manipulation and persistence.
Aggregate Functions
Introduction to Aggregate Functions
Aggregate functions in MySQL are specialized operations designed to perform calculations on multiple values within a column. They enable users to efficiently summarize data by computing metrics such as totals, averages, counts, and extremes, which are essential for data analysis and reporting.
Common Aggregate Functions in MySQL
The most frequently used aggregate functions include SUM, which calculates the total of numeric values; AVG, which determines the average; COUNT, which counts the number of rows or non-null values; MAX, which identifies the highest value; and MIN, which finds the lowest value. Mastery of these functions empowers users to derive meaningful insights and make data-driven decisions from MySQL databases.
Joins in MYSQL
Introduction to Joins in MySQL
In MySQL, joins are powerful operations used to combine rows from two or more tables based on related columns. They enable users to merge data efficiently, facilitating more complex and meaningful queries across multiple tables.
Common Types of Joins
The most frequently used joins include INNER JOIN, which returns records with matching values in both tables; LEFT JOIN (or LEFT OUTER JOIN), which returns all records from the left table and matched records from the right table; and RIGHT JOIN (or RIGHT OUTER JOIN), which returns all records from the right table and matched records from the left. Understanding these joins is essential for leveraging relational database capabilities and extracting comprehensive insights from data.
SQL Sub Queries
Understanding SQL Subqueries
SQL subqueries are nested queries embedded within a primary SQL statement, enabling advanced data retrieval by referencing results from related queries. They can be utilized within various clauses such as SELECT, FROM, and WHERE to filter, compare, or aggregate data with greater precision. Subqueries enhance the flexibility and power of SQL, making them essential tools for executing complex data analysis and breaking down sophisticated queries into manageable parts.
Windows Function
Introduction to Window Functions in SQL
Window functions, also known as analytic or windowing functions, are advanced SQL features that perform calculations across a specific range—or window — of rows related to the current row within a result set. Unlike aggregate functions that collapse rows, window functions retain the row-level detail while enabling computations such as running totals, rankings, moving averages, percentiles, and cumulative sums. These functions provide powerful analytical capabilities that allow users to perform complex data analysis directly within SQL queries, making them indispensable for advanced reporting, trend analysis, and business intelligence tasks.
MYSQL Connectivity with Python
Connecting MySQL with Python
Connecting MySQL with Python is straightforward using libraries such as mysql-connector-python or pymysql. These libraries allow Python applications to establish secure connections to MySQL databases, execute SQL queries, and retrieve results efficiently. This integration facilitates seamless interaction and management of MySQL data within Python programs, enabling developers to build dynamic, data-driven applications with ease.
Why choose Datadrix?
Learn and grow as a developer with our project based courses.
Superb mentors
Best in class mentors from top Tech schools and Industry favorite Techies are here to teach you.
Industry-vetted curriculum
Best in class content, aligned to the Tech industry is delivered to you to ensure you Tech industry.
Project based learning
Hands on learning pedagogy with live projects to cover practical knowledge over theoretical one.
Superb placements
Result oriented courses across all genres, students as well as Working professionals.
Project based learning
Hands on learning pedagogy with live projects to cover practical knowledge over theoretical one.
Superb placements
Result oriented courses across all genres, students as well as Working professionals.
Certificate of completion
Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
“Validate Your Expertise and Propel Your Career”
Expand Opportunities: Certifications to unlock new career opportunities, gain credibility with employers, and open doors to higher-level positions.
Continuous Growth: Certifications not only validate your current skills but also encourage continuous learning and professional development, allowing you to stay updated with the latest industry trends and advancements.
Certification: A testament to your skills and knowledge, certifications demonstrate your proficiency in specific areas of expertise, giving you a competitive edge in the job market.
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Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
I joined Datadrix to learn Python and Data Engineering. Thanks to Om Arora for simplifying coding concepts and providing practical projects to work on.
Datadrix Institute helped me build a solid base in Python and Data Science. Special thanks to Nitin Shrivastav for his clear and practical teaching.
Thanks to Datadrix’s Data Analytics program, I cracked my interview confidently. Nitin Shrivastav’s sessions were insightful and very practical.
Loved learning Python and Data Science here. Datadrix has the best trainers and projects. Special thanks to Om Arora for his real-world examples.
Finally cracked my second job in data science after Datadrix’s training. Nitin Shrivastav’s SQL and Power BI sessions boosted my confidence.
Datadrix Institute made learning Web Development super fun! Om Arora’s support and practical project work made the course so much more valuable.
The Data Analytics course by Datadrix Institute was worth it. Nitin Shrivastav’s explanations on tools like Excel and Power BI made it easy.
Datadrix's Data Science program gave me clarity on statistics and ML. Om Arora explained tough topics in a very simple and relatable way.
Big thanks to Datadrix for helping me master Python programming. Nitin Shrivastav’s approach to teaching made coding fun and easy to follow.
Datadrix's Data Science program gave me clarity on statistics and ML. Nitin sir explained tough topics in a very simple and relatable way.
The Data Analytics course at Datadrix helped me land my job as a data analyst. Nitin Shrivastav’s clear and patient teaching style stood out.
The Python programming training was perfect for beginners. Thanks to Nitin Shrivastav for always clearing doubts patiently and giving real projects.
Frequently Asked Questions
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