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Python Programming

Master to drive smarter decisions

⏱️
Duration 1 Months
πŸ“š
Level Beginner to Advanced
βœ“
Certificate Yes

About This Course

Python Programming is a versatile and beginner-friendly programming language widely used for software development, web applications, automation, data analysis, artificial intelligence, machine learning, and cloud computing. Its simple syntax, extensive libraries, and cross-platform compatibility make it one of the most popular languages among developers and organizations worldwide. Python enables developers to build efficient, scalable, and maintainable applications while reducing development time. Learning Python provides a strong foundation in programming concepts, object-oriented programming, file handling, database connectivity, and real-world application development. With its broad industry adoption and growing demand, Python skills open career opportunities in software engineering, backend development, automation, data science, AI, and many other technology domains.

Grab core concepts and industry practice
Build real-world projects
Develop problem-solving skills
Prepare for interviews and certifications

Course Content

1 Python Basics +

  • Introduction to Python Basics
  • Core Concepts of Python Basics
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Python Basics

2 OOP +

  • Introduction to OOP
  • Core Concepts of OOP
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using OOP

3 File Handling +

  • Introduction to File Handling
  • Core Concepts of File Handling
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using File Handling

4 Libraries +

  • Introduction to Libraries
  • Core Concepts of Libraries
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Libraries

5 Database Connectivity +

  • Introduction to Database Connectivity
  • Core Concepts of Database Connectivity
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Database Connectivity

6 Projects +

  • Introduction to Projects
  • Core Concepts of Projects
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Projects

Course Details

Duration
1 Months
Mode
Online / Classroom
Level
Beginner to Advanced
Certificate
Yes

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Complete Course Curriculum

Our comprehensive curriculum is designed to take you from beginner to advanced scientist. Each module builds upon the previous one, ensuring a solid foundation in all essential Python Programming skills.

Course Content

1 Python Basics +

  • Introduction to Python Basics
  • Core Concepts of Python Basics
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Python Basics

2 OOP +

  • Introduction to OOP
  • Core Concepts of OOP
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using OOP

3 File Handling +

  • Introduction to File Handling
  • Core Concepts of File Handling
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using File Handling

4 Libraries +

  • Introduction to Libraries
  • Core Concepts of Libraries
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Libraries

5 Database Connectivity +

  • Introduction to Database Connectivity
  • Core Concepts of Database Connectivity
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Database Connectivity

6 Projects +

  • Introduction to Projects
  • Core Concepts of Projects
  • Hands-on Practical Exercises
  • Industry Use Cases
  • Mini Project using Projects

Learning Path

βœ“
Python Fundamentals
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Object-Oriented Programming
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Advanced Python Concepts
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Project Development

Hands-on Projects

Our curriculum includes multiple real-world projects that help you apply theoretical knowledge to practical problems. Each project is designed to build your portfolio.

1 Library Management System

Objective: Develop a personal expense tracker that stores transaction data, generates summaries, and manages records using file handling and Python libraries.

Skills:File Handling, Python Libraries, Data Management

2 Student Management System

Objective: Build a Python application to manage student records with features such as adding, updating, deleting, and searching records using database connectivity.

Skills:Python, OOP, Database Connectivity

Project Benefits

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Build professional portfolio
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Gain industry experience
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Solve real problems
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GitHub integration
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Mentorship & reviews
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Certificate upon completion

Career Benefits & Opportunities

Python Programming is one of the most in-demand skills in the job market. Our course prepares you for lucrative career opportunities in top tech companies and organizations.

Career Paths After Completion

πŸ“Š
Python Developer
$120K - $180K annually
πŸ”¬
Software Developer
$130K - $200K annually
πŸ“Š
Backend Developer
$130K - $200K annually
πŸ”¬
Automation Engineer
$130K - $200K annually

Top Hiring Companies

Google - Scientist, ML Engineer
Amazon - Applied Scientist, Analytics
Meta - Scientist, Analytics Engineer
Microsoft - ML Engineer, Scientist

Career Support

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Resume building & optimization
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Interview preparation
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LinkedIn profile optimization
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Job board access
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Placement assistance
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1-on-1 career counseling
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Industry network access

Complete Course Curriculum

Our comprehensive curriculum is designed to take you from beginner to advanced scientist. Each module builds upon the previous one, ensuring a solid foundation in all essential Python Programming.

1 Is this course suitable for beginners? +

Yes. The course starts with Python fundamentals and gradually progresses to advanced programming concepts and real-world projects.

2 Do I need prior programming knowledge? +

No. The course is designed for beginners and provides step-by-step guidance from the basics.

3 What tools and technologies will I learn? +

You will learn Python, object-oriented programming, file handling, popular Python libraries, database connectivity, and project development techniques.

4 Will I build real-world projects? +

Yes. The course includes multiple hands-on projects, coding assignments, and practical exercises to strengthen your programming skills.

5 Which databases are covered? +

The course introduces database connectivity concepts and demonstrates how Python interacts with relational databases for data storage and management.

6 What career opportunities are available after this course? +

You can pursue roles such as Python Developer, Backend Developer, Software Engineer, Automation Engineer, Data Analyst, QA Automation Engineer, and Junior Full-Stack Developer.

7 Does this course help with interviews? +

Yes. The curriculum focuses on coding practice, problem-solving, and project development to help you prepare for technical interviews and internships.