Description
Course Objectives
By the end of this course, learners will:
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Understand Python fundamentals, including syntax, variables, and operators.
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Work with data structures like lists, tuples, dictionaries, and sets.
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Implement control structures (loops, conditionals) and functions.
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Handle file operations (reading/writing files).
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Learn Object-Oriented Programming (OOP) concepts in Python.
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Explore error handling and debugging techniques.
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Develop real-world applications (e.g., web scraping, data analysis, automation).
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Gain exposure to Python libraries like NumPy, Pandas, or Flask (depending on specialization).
Course Modules
Module 1: Introduction to Python
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History and features of Python
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Setting up Python (Installation, IDEs, Jupyter Notebook)
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Basic syntax, variables, and data types
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Input/output operations
Module 2: Control Structures & Functions
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Conditional statements (
if-elif-else) -
Loops (
for,while) -
Functions (definition, parameters, return values)
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Lambda functions
Module 3: Data Structures in Python
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Lists, tuples, dictionaries, sets
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List comprehensions
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Sorting and searching algorithms
Module 4: File Handling & Modules
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Reading/writing text and CSV files
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Working with JSON data
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Importing and creating modules
Module 5: Object-Oriented Programming (OOP)
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Classes and objects
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Inheritance, polymorphism, encapsulation
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Magic methods
Module 6: Error Handling & Debugging
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Exception handling (
try-except-finally) -
Debugging techniques
Module 7: Python Libraries & Applications
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Introduction to libraries like:
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NumPy/Pandas (Data Analysis)
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Matplotlib/Seaborn (Data Visualization)
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Flask/Django (Web Development)
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Requests/BeautifulSoup (Web Scraping)
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Module 8: Capstone Project
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Apply learned concepts to build a real-world Python project
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Project presentation and code review
Who Should Enroll?
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Beginners with no prior coding experience
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Professionals looking to upskill in programming
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Students pursuing careers in software development, data science, or automation
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Entrepreneurs wanting to automate business processes
Assessment & Certification
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Weekly quizzes & coding assignments
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Mid-course project
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Final capstone project evaluation
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Certificate awarded upon 80%+ completion score
Career Opportunities
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Python Developer
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Data Analyst
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Automation Engineer
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Backend Developer (with further training)
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AI/ML Engineer (with advanced courses)
Fees & Enrollment
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Standard Fee: $299 (Early-bird discounts available)
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Includes: Course material, coding exercises, mentorship, and certification
Enrollment: Open (Rolling admissions)
Why Choose This Course?
✅ Hands-on coding exercises
✅ Industry-relevant curriculum
✅ Instructor-led & self-paced options
✅ Career support (resume guidance, LinkedIn profile tips)
Contact: Email info@pythoninstitute.com | Phone: +1 (123) 456-7890
Website: www.pythoninstitute.com/certificate




