programProgramming & DevelopmentbeginnerFeatured

Python with MySQL Bootcamp

Learn Python programming and MySQL database development in 3 months. Build real-world applications with database integration and CRUD operations.

Duration: 3 months
Mode: online/offline
Language: Hindi/English
View Curriculum

Curriculum

Module 1: Python Programming Fundamentals

2 weeks

Topics Covered:

  • Introduction to Python
  • - Python Setup & Installation
  • - Anaconda, Jupyter Notebook, VS Code
  • - Python Interactive Shell
  • Variables & Data Types
  • - Integers, Floats, Strings, Booleans
  • - Type Conversion & Type Checking
  • - Constants & Variables Naming Conventions
  • Operators
  • - Arithmetic Operators (+, -, *, /, %, //, **)
  • - Comparison Operators (==, !=, >, <, >=, <=)
  • - Logical Operators (and, or, not)
  • - Assignment Operators (=, +=, -=, *=)
  • - Membership Operators (in, not in)
  • - Identity Operators (is, is not)
  • Input & Output
  • - print() Function
  • - input() Function
  • - String Formatting (f-strings, format(), % formatting)
  • Control Flow
  • - if, elif, else Statements
  • - Nested Conditionals
  • - while Loop
  • - for Loop
  • - break, continue, pass Statements
  • - Loop Else Clause
  • Strings
  • - String Indexing & Slicing
  • - String Methods (upper, lower, strip, replace, split, join)
  • - String Concatenation & Repetition
  • Lists
  • - List Creation & Indexing
  • - List Methods (append, extend, insert, remove, pop, sort, reverse)
  • - List Slicing & Comprehension
  • Tuples
  • - Tuple Creation & Indexing
  • - Tuple vs List
  • - Tuple Unpacking
  • Sets
  • - Set Creation & Operations
  • - Set Methods (add, remove, union, intersection, difference)
  • Dictionaries
  • - Dictionary Creation & Key-Value Pairs
  • - Dictionary Methods (keys, values, items, get, update, pop)
  • - Iterating Through Dictionaries

Projects:

  • Simple Calculator Application
  • Student Grade Management System
  • Word Frequency Counter

Module 2: Python Functions & Modules

2 weeks

Topics Covered:

  • Functions
  • - Function Definition & Calling
  • - Parameters & Arguments
  • - Return Statement
  • - Default Parameters
  • - Keyword Arguments
  • - Variable-Length Arguments (*args, **kwargs)
  • - Scope (Local, Global, Enclosing)
  • - Lambda Functions
  • - Map, Filter, Reduce Functions
  • Modules & Packages
  • - Importing Modules
  • - Creating Custom Modules
  • - Python Standard Library Overview
  • - OS Module (File & Directory Operations)
  • - Math & Random Module
  • - Datetime Module
  • - JSON Module
  • File Handling
  • - Opening & Closing Files
  • - Reading Files (read, readline, readlines)
  • - Writing & Appending to Files
  • - Working with CSV Files
  • - Working with JSON Files
  • Error Handling
  • - try, except, finally, else Blocks
  • - Handling Specific Exceptions
  • - Raising Exceptions
  • - Custom Exceptions
  • List & Dictionary Comprehensions
  • - List Comprehensions with Conditionals
  • - Dictionary Comprehensions
  • - Set Comprehensions
  • Decorators & Generators
  • - Function Decorators
  • - Generators with yield
  • - Iterator Protocol

Projects:

  • Student Result Analysis System (File Handling)
  • Expense Tracker with File Storage
  • Library Management System (Console-based)

Module 3: MySQL Database Fundamentals

2 weeks

Topics Covered:

  • Introduction to Databases
  • - What is Database & DBMS
  • - Types of Databases (Relational, NoSQL)
  • - RDBMS Concepts
  • MySQL Setup & Installation
  • - MySQL Server Installation
  • - MySQL Workbench Setup
  • - Command-Line Interface
  • Database Design & Modeling
  • - Entities, Attributes, Relationships
  • - ER Diagrams
  • - Normalization (1NF, 2NF, 3NF)
  • SQL Basics
  • - Data Types (INT, VARCHAR, DATE, DECIMAL, TEXT)
  • - CREATE DATABASE, USE DATABASE
  • - DROP DATABASE
  • Table Operations
  • - CREATE TABLE (Syntax, Constraints)
  • - ALTER TABLE (ADD, DROP, MODIFY)
  • - DROP TABLE, TRUNCATE TABLE
  • - DESC, SHOW TABLES
  • Constraints
  • - PRIMARY KEY
  • - FOREIGN KEY
  • - UNIQUE, NOT NULL, DEFAULT, CHECK
  • - AUTO_INCREMENT
  • Data Manipulation Language (DML)
  • - INSERT INTO (Single & Multiple Rows)
  • - UPDATE (With WHERE Clause)
  • - DELETE (With WHERE Clause)
  • Data Query Language (DQL)
  • - SELECT (All Columns, Specific Columns)
  • - WHERE Clause (Conditions, Operators)
  • - ORDER BY (ASC, DESC)
  • - LIMIT, DISTINCT
  • - LIKE, IN, BETWEEN
  • - IS NULL, IS NOT NULL

Projects:

  • Create Employee Database Schema
  • Design Library Management Database
  • E-commerce Database Design & Data Entry

Module 4: Advanced MySQL & SQL Queries

2 weeks

Topics Covered:

  • Aggregate Functions
  • - COUNT, SUM, AVG, MIN, MAX
  • - GROUP BY Clause
  • - HAVING Clause
  • - GROUP_CONCAT
  • JOINS
  • - INNER JOIN
  • - LEFT JOIN (LEFT OUTER JOIN)
  • - RIGHT JOIN (RIGHT OUTER JOIN)
  • - FULL OUTER JOIN
  • - CROSS JOIN
  • - SELF JOIN
  • - Joining Multiple Tables
  • Subqueries
  • - Subquery in WHERE Clause
  • - Subquery in SELECT Clause
  • - Subquery in FROM Clause (Derived Tables)
  • - Correlated Subqueries
  • - EXISTS & NOT EXISTS
  • Common Table Expressions (CTEs)
  • - WITH Clause
  • - Recursive CTEs
  • Window Functions
  • - ROW_NUMBER, RANK, DENSE_RANK
  • - LAG, LEAD
  • - NTILE
  • - Running Totals & Moving Averages
  • Views
  • - CREATE VIEW
  • - UPDATE View
  • - DROP VIEW
  • Stored Procedures & Functions
  • - CREATE PROCEDURE
  • - Parameters IN, OUT, INOUT
  • - CREATE FUNCTION
  • - Triggers (Introduction)
  • Indexes
  • - CREATE INDEX
  • - DROP INDEX
  • - Types of Indexes
  • - Query Optimization Basics
  • User Management
  • - CREATE USER, DROP USER
  • - GRANT, REVOKE Permissions

Projects:

  • Sales Data Analysis with Complex Queries
  • Customer Order Analysis with CTE & Window Functions
  • Product Sales Report with Stored Procedures

Module 5: Python with MySQL Integration

2 weeks

Topics Covered:

  • Connecting Python to MySQL
  • - Installing MySQL Connector (mysql-connector-python)
  • - Installing PyMySQL
  • - Establishing Connection
  • - Creating Cursor Object
  • CRUD Operations with Python
  • - CREATE: INSERT Data
  • - READ: SELECT Data (fetchone, fetchall, fetchmany)
  • - UPDATE: Modify Data
  • - DELETE: Remove Data
  • - Parameterized Queries (Preventing SQL Injection)
  • Transaction Management
  • - commit() and rollback()
  • - ACID Properties
  • Advanced Operations
  • - Working with Multiple Tables (Joins)
  • - Stored Procedure Calls from Python
  • - Working with Transactional Data
  • Error Handling with Database Operations
  • - Connection Errors
  • - Query Execution Errors
  • - Integrity Errors
  • Using SQLAlchemy ORM (Introduction)
  • - SQLAlchemy Core vs ORM
  • - Connection with SQLAlchemy
  • - pandas.read_sql for Data Analysis
  • Best Practices
  • - Connection Pooling
  • - Closing Connections
  • - Context Managers (with statement)
  • - Using Environment Variables for Credentials
  • Building Database GUI Applications
  • - Tkinter + MySQL Integration
  • - CRUD Application with GUI

Projects:

  • Student Management System with MySQL (Python Console)
  • Employee Payroll System with CRUD Operations
  • Inventory Management System with Database

Module 6: Project Development & Career Preparation

2 weeks

Topics Covered:

  • Project Development Lifecycle
  • - Requirement Analysis
  • - Database Design
  • - Application Architecture
  • - Implementation
  • - Testing & Debugging
  • Building Full-Stack Applications
  • - Console-Based Applications
  • - Web Application Integration (Introduction)
  • - Flask + MySQL Introduction
  • Project: Library Management System
  • - Database Schema Design
  • - User Management Module
  • - Book Management Module
  • - Issue & Return Module
  • - Fine Calculation Module
  • - Reporting Module
  • Project: Inventory Management System
  • - Product Categories & Products
  • - Stock Management
  • - Order Processing
  • - Report Generation
  • Project: Student Attendance System
  • - Student Registration
  • - Attendance Marking
  • - Attendance Reports
  • Code Quality
  • - Code Documentation
  • - PEP 8 Guidelines
  • - Error Logging
  • Career Preparation
  • - Resume Building for Developer Roles
  • - GitHub Portfolio
  • - Interview Preparation
  • - Python & SQL Interview Questions
  • Certification Guidance
  • - PCEP (Python Certified Entry-Level Programmer)
  • - PCAP (Python Certified Associate Programmer)
  • - Oracle MySQL Certification

Projects:

  • Library Management System (Full CRUD + Reporting)
  • Inventory Management System with MySQL
  • Student Attendance Tracking System
  • Hotel Booking Management System
  • Personal Expense Manager with Database

Learning Objectives

  • ✓Master Python programming fundamentals (variables, data types, control flow, functions)
  • ✓Work with Python data structures (Lists, Tuples, Sets, Dictionaries)
  • ✓Write complex SQL queries and manage MySQL databases
  • ✓Connect Python applications to MySQL databases
  • ✓Perform CRUD operations (Create, Read, Update, Delete) using Python
  • ✓Build real-world applications with database integration
  • ✓Handle errors and implement best coding practices
  • ✓Build a professional portfolio with 8+ projects

Why Choose Python with MySQL Bootcamp?

The Python with MySQL Bootcamp is a comprehensive 3-month program that takes you from absolute beginner to a confident developer capable of building database-driven applications. This bootcamp combines Python programming with MySQL database development, giving you the skills needed for backend development roles.

  • Dual Skill Set: Learn both Python programming and MySQL database management
  • 8+ Real-World Projects: Build library management, inventory, and student management systems
  • Industry-Ready Skills: CRUD operations, database design, and application development
  • Hands-On Focus: 80% practical with real-world projects
  • Career Ready: Portfolio projects, interview preparation, and certification guidance
  • No Prerequisites: Start from absolute basics

Who Should Enroll?

  • Fresh Graduates wanting a career in software development
  • BCA, BSc, BTech Students looking to build practical skills
  • Career Changers wanting to move into tech roles
  • Non-IT Graduates (BCom, BA, BBA) wanting to add programming skills
  • Working Professionals wanting to upskill in Python & Databases
  • Anyone passionate about programming and building applications

No prior coding experience required! We start from scratch.

What You'll Build

Python Projects

  • Simple Calculator Application
  • Student Grade Management System
  • Word Frequency Counter
  • Student Result Analysis System
  • Expense Tracker

MySQL Projects

  • Employee Database Schema
  • Library Management Database
  • E-commerce Database Design

Full-Stack Python + MySQL Projects

  • Library Management System (CRUD + Reporting)
  • Inventory Management System
  • Employee Payroll System
  • Student Attendance Tracking System
  • Hotel Booking Management System
  • Personal Expense Manager

Career Opportunities

Entry-Level (₹3-5 LPA)

  • Junior Python Developer
  • Database Administrator (Junior)
  • Software Developer Trainee
  • Backend Developer (Entry)

Mid-Level (₹5-10 LPA)

  • Python Developer
  • Database Developer
  • Backend Engineer
  • Full-Stack Developer (Python + MySQL)

Senior-Level (₹10-18+ LPA)

  • Senior Python Developer
  • Database Architect
  • Backend Lead

Top Hiring Companies

  • IT Services: TCS, Infosys, Wipro, HCL, Tech Mahindra
  • Product: Zoho, Freshworks, Razorpay
  • Startups: Ola, Swiggy, Paytm, CRED, Groww
  • Tech: Amazon, Microsoft, Google
  • Finance: HDFC, ICICI, JPMC

Learning Experience

Learning Format

  • Duration: 3 months
  • Mode: Online/Offline
  • Schedule: 10-12 hours per week
  • 6 modules from Python basics to Full-Stack Projects

Learning Methodology

  • 20% Theory & Concepts
  • 80% Hands-on Coding, Labs & Projects
  • Weekly assignments and coding exercises
  • Capstone projects with mentor evaluation
  • Interview preparation and career guidance

Course Includes

  • Course Material: Notes, code notebooks, database schemas, project templates
  • MySQL: Free student license access
  • Assessments: Weekly quizzes, assignments, and project evaluations
  • Certification: Python with MySQL Bootcamp Certificate
  • Job Support: Resume, GitHub portfolio, mock interviews
  • Community: Alumni network and peer support

Fee Structure

Course Fee: ₹15,000 (3 months)

Payment Options:

  1. One-time Payment: ₹13,000 (₹2,000 discount)
  2. Monthly: ₹5,000 × 3

Frequently Asked Questions

Do I need prior coding experience?

No. This program is designed for absolute beginners. We start from Python basics and build up to advanced database applications.

Why Python with MySQL?

Python is the most in-demand programming language, and MySQL is the most popular open-source database. Together, they form the backbone of most applications. This combination is highly valued by employers.

What's the difference between this and a full-stack course?

This course focuses on Python + MySQL backend development. You'll learn to build database-driven applications but we don't cover frontend (HTML/CSS/JS) in depth. It's perfect for backend-focused roles.

Can I build web applications after this?

Yes. We provide an introduction to Flask + MySQL integration. You'll be able to build web applications after the course.

Will this help me become a Data Scientist?

This is a foundational course for data science. Python and SQL are essential skills for data science. For a complete data science career, we recommend our Data Science and Analytics program.

What if I don't have a powerful laptop?

Python and MySQL are lightweight tools. A laptop with 4GB RAM is sufficient for all exercises and projects.

Will I get a certificate?

Yes, you will receive a Python with MySQL Bootcamp Certificate upon successful completion of the program and all projects.

What is the weekly time commitment?

You should expect to spend 10-12 hours per week on lectures, assignments, and projects.

Can I switch to other courses after this?

Yes. This course is the perfect foundation for our Data Analytics, Data Science, and Web Development programs.

Is this course available in Hindi?

Yes, the course is available in both Hindi and English (Hinglish).

Tags

PythonMySQLDatabaseProgrammingBackend DevelopmentCRUD OperationsSQL

Related Courses & Programs

Data Science and Analytics

Data Science and Analytics

program9 months

A comprehensive data science and analytics program focused on Python, SQL, statistics, business analytics, machine learning, and dashboard storytelling.

Data Analytics Mastery Program

Data Analytics Mastery Program

program6 months

A comprehensive data analytics program covering Excel, Power BI, Python, and MySQL. Master data cleaning, visualization, dashboard creation, and business intelligence with 10+ real-world projects.

C & C++ Programming Bootcamp

C & C++ Programming Bootcamp

program3 months

A comprehensive 3-month bootcamp covering C and C++ programming from fundamentals to advanced concepts including data structures, object-oriented programming, and file handling.