Course Overview:
This comprehensive 6-month certificate course is designed to take you from a beginner to an advanced level in Python programming. The course covers fundamental programming concepts, advanced Python features, and practical applications in data analysis, web development, and automation. By the end of the course, you will have a strong foundation in Python and be able to apply your skills to real-world projects.
Course Outline
Month 1: Python Fundamentals
- Week 1: Introduction to Python
- What is Python?
- Installing Python and setting up the environment
- Writing your first Python program
- Python syntax and indentation
- Variables and data types
- Week 2: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
- Break, continue, and pass statements
- Week 3: Functions
- Defining and calling functions
- Function arguments and return values
- Lambda functions
- Scope and lifetime of variables
- Week 4: Data Structures
- Lists, tuples, and sets
- Dictionaries
- List comprehensions
- Working with strings
Month 2: Intermediate Python
- Week 5: File Handling
- Reading from and writing to files
- Working with different file formats (text, CSV, JSON)
- Week 6: Error Handling and Exceptions
- Try, except, finally blocks
- Raising exceptions
- Custom exceptions
- Week 7: Modules and Packages
- Importing modules
- Standard library modules
- Creating and using packages
- Week 8: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance and polymorphism
- Encapsulation and abstraction
- Magic methods
Month 3: Advanced Python
- Week 9: Iterators and Generators
- Understanding iterators
- Creating generators
- Using yield
- Week 10: Decorators and Context Managers
- Understanding decorators
- Creating custom decorators
- Using context managers (with statement)
- Week 11: Regular Expressions
- Pattern matching with regex
- Using the re module
- Practical applications of regex
- Week 12: Working with APIs
- Introduction to APIs
- Making HTTP requests (using requests library)
- Parsing JSON data
Month 4: Data Analysis with Python
- Week 13: Introduction to Data Analysis
- Overview of data analysis process
- Introduction to NumPy
- Array operations and manipulations
- Week 14: Data Manipulation with Pandas
- Introduction to Pandas
- DataFrames and Series
- Data cleaning and preprocessing
- Week 15: Data Visualization
- Introduction to Matplotlib
- Creating plots and charts
- Introduction to Seaborn for advanced visualizations
- Week 16: Introduction to Machine Learning with Scikit-Learn
- Overview of machine learning
- Basic algorithms (linear regression, classification)
- Model evaluation and validation
Month 5: Web Development with Python
- Week 17: Introduction to Web Development
- Basics of web development
- Introduction to Flask
- Creating a simple web application
- Week 18: Working with Databases
- Introduction to SQL
- Using SQLite with Python
- Integrating databases with Flask
- Week 19: Advanced Flask Concepts
- Templates and static files
- Form handling and validation
- User authentication and sessions
- Week 20: Introduction to Django
- Overview of Django framework
- Creating a Django project
- Models, views, and templates
Month 6: Capstone Project and Advanced Topics
- Week 21-22: Capstone Project
- Planning and designing a real-world project
- Implementing the project using Python
- Presenting the project to peers and instructors
- Week 23: Automation and Scripting
- Automating repetitive tasks
- Working with OS and subprocess modules
- Creating custom scripts
- Week 24: Career Preparation and Final Exam
- Resume building and interview preparation
- Python coding challenges and mock interviews
- Final exam and course review
Course Fee
- Total Course Fee: $6,200
Additional Costs:
- Course Materials: Free (provided online)
- Software: Free (open-source tools like Python, Flask, Django, etc.)
- Certification Exam Fee: Included in the course fee
Certification
Upon successful completion of the course and passing the final exam, students will receive a Certificate of Completion in “Python Complete Course.” This certificate will be a testament to your proficiency in Python programming and its applications.
Who Should Enroll?
- Beginners with no prior programming experience
- Professionals looking to upskill in Python
- Students pursuing a career in software development, data analysis, or web development
- Anyone interested in learning Python for automation and scripting
Note: The course outline and fee structure are subject to change. Please check the official website for the most up-to-date information.
