₹7500+GST
2 Months
Python Programming
Course Overview
Are you a college student, IT graduate, or someone looking to make a career transition into the dynamic world of IT? This comprehensive Python programming course is designed to empower you with the essential skills and knowledge needed to excel in the field of technology. Whether you're a beginner or have some coding experience, this course will take you from Python novice to a confident Python programmer.
What You'll Learn
- Master Python from Scratch: We'll start with the basics, ensuring you have a solid foundation in Python programming.
- Advanced Python Concepts: Delve into more complex topics like object-oriented programming, data structures, and error handling.
- Real-World Application: Discover practical use cases of Python in the IT industry, including web development, data analysis, and automation.
- Hands-On Projects: Develop your skills through hands-on coding projects and exercises.
- Problem-Solving: Learn how to tackle real-world IT problems using Python.
- Working with Key Libraries: Explore libraries such as NumPy, Pandas, and Flask for specialized applications.
- Best Practices: Gain insights into industry best practices and coding standards.
- Version Control with Git: Understand how to collaborate with others on coding projects using Git.
- Preparing for IT Roles: Get ready to excel in job interviews and take your first steps in IT.
Prerequisite
No prior programming experience is required. A basic understanding of computer operations is beneficial.
Course Description
In this course, we'll take you through Python programming step by step, covering everything from variables and data types to advanced topics like web development, data analysis, and automation. You'll gain a deep understanding of Python and its real-world applications in the IT sector.
Jobs and Use Cases
Upon completion of this course, you'll be well-prepared for a variety of IT roles, including:
- Web Developer: Create dynamic and interactive websites with Python.
- Data Analyst: Analyze and visualize data using Python's powerful data manipulation libraries.
- Software Developer: Build software applications, games, and tools using Python.
- Automation Engineer: Streamline repetitive tasks with Python scripts.
- IT Consultant: Provide expert guidance and solutions in the IT industry.
Tools and Technologies Covered
- Python (latest version)
- Integrated Development Environments (IDEs) like PyCharm or Jupyter Notebook
- Git for version control
- Libraries such as NumPy, Pandas, and Flask
Get Recognized Python Certification
After successful completion, you'll receive industry-recognized certifications, validating your Python proficiency and enhancing your career prospects.
Curriculum
- Introduction to Python
- Setting up the development environment
- Variables and data types (numbers, strings, booleans, lists,
- tuples, dictionaries, sets)
- Operators and expressions (arithmetic, assignment,
- comparison, logical, and more)
- Conditional statements (if-elif-else, nested conditionals)
- Loops (for loops, while loops, loop control statements)
- User input and output
- Defining and calling functions
- Function parameters and arguments
- Return values and scope
- Lambda functions
- Built-in functions and modules
- Importing and using third-party modules and libraries
- Introduction to OOP concepts
- Creating classes and objects
- Attributes and methods
- Inheritance and polymorphism
- Special methods (constructors, destructors, etc.)
- Encapsulation and data hiding
- Exception handling with try-except blocks
- Raising exceptions
- Built-in exceptions
- Creating custom exceptions
- Building a basic web application with Flask
- Routing and URL handling
- Templates and template rendering
- Form handling and validation
- Interacting with databases
- Introduction to data analysis
- NumPy for numerical computing
- Pandas for data manipulation and analysis
- Data cleaning and preprocessing
- Data visualization
- Introduction to automation
- Writing scripts for automating tasks
- Working with files and directories
- Interacting with databases
- Web scraping and automation
- Python coding standards and best practices
- Writing clean and maintainable code
- Introduction to version control with Git
- Collaborating on projects with Git
- Building a professional portfolio
- Showcasing projects and skills
- Resume writing and interview preparation
- Navigating the IT job market
- Career paths in Python and related technologies
- Applying the knowledge and skills learned
- Building a real-world Python application or project
- Presenting and demonstrating the project
- Introduction to Python
- Setting up the development environment
- Variables and data types (numbers, strings, booleans, lists,
- tuples, dictionaries, sets)
- Operators and expressions (arithmetic, assignment,
- comparison, logical, and more)
- Conditional statements (if-elif-else, nested conditionals)
- Loops (for loops, while loops, loop control statements)
- User input and output
- Defining and calling functions
- Function parameters and arguments
- Return values and scope
- Lambda functions
- Built-in functions and modules
- Importing and using third-party modules and libraries
- Introduction to OOP concepts
- Creating classes and objects
- Attributes and methods
- Inheritance and polymorphism
- Special methods (constructors, destructors, etc.)
- Encapsulation and data hiding
- Exception handling with try-except blocks
- Raising exceptions
- Built-in exceptions
- Creating custom exceptions
- Building a basic web application with Flask
- Routing and URL handling
- Templates and template rendering
- Form handling and validation
- Interacting with databases
- Introduction to data analysis
- NumPy for numerical computing
- Pandas for data manipulation and analysis
- Data cleaning and preprocessing
- Data visualization
- Introduction to automation
- Writing scripts for automating tasks
- Working with files and directories
- Interacting with databases
- Web scraping and automation
- Python coding standards and best practices
- Writing clean and maintainable code
- Introduction to version control with Git
- Collaborating on projects with Git
- Building a professional portfolio
- Showcasing projects and skills
- Resume writing and interview preparation
- Navigating the IT job market
- Career paths in Python and related technologies
- Applying the knowledge and skills learned
- Building a real-world Python application or project
- Presenting and demonstrating the project
Course Fee
Frequently Asked Questions
No, this course is designed for beginners with no prior programming knowledge.
You'll need a computer with Python installed, which is available for free on various platforms.