What will you learn in Programming in Python Course
Master foundational programming concepts through Python.
Work with data structures including lists, dictionaries, and sets.
Use conditionals, loops, and functions to build logic-driven applications.
Apply object-oriented programming with classes, methods, and inheritance.
Write modular, reusable, and maintainable Python code.
Program Overview
Module 1: Introduction to Python
⏳ 1.5 hours
Topics: What is Python, Python syntax, indentation, variables.
Hands-on: Write simple scripts and test Python basics in-browser.
Module 2: Working with Data Types
⏳ 2 hours
Topics: Strings, numbers, booleans, and type conversion.
Hands-on: Practice type manipulation and operations.
Module 3: Conditionals and Loops
⏳ 2.5 hours
Topics: If-else logic, while and for loops, nested control flows.
Hands-on: Develop simple logic-driven scripts and applications.
Module 4: Functions and Scope
⏳ 3 hours
Topics: Defining functions, parameters, return values, local/global scope.
Hands-on: Create reusable functions and test different scopes.
Module 5: Data Structures in Python
⏳ 3 hours
Topics: Lists, tuples, sets, and dictionaries.
Hands-on: Practice storing and accessing data with various structures.
Module 6: Object-Oriented Programming
⏳ 3.5 hours
Topics: Classes, objects, methods, constructors, and inheritance.
Hands-on: Build classes and use OOP to solve programming problems.
Module 7: File I/O and Error Handling
⏳ 2 hours
Topics: Reading from/writing to files, exception handling.
Hands-on: Create file-based scripts with robust error handling.
Module 8: Capstone Practice Projects
⏳ 2.5 hours
Topics: Consolidation of learned skills through practical problems.
Hands-on: Solve real-world problems using full program logic.
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Job Outlook
Python is a core language in web development, data analysis, machine learning, and automation.
Strong demand for entry-level Python developers, QA engineers, and automation testers.
Average salary range: $65K–$95K, with rapid career growth potential.
Opportunities exist in freelancing, startups, and large-scale tech firms.
Specification: Programming in Python Course
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FAQs
- No prior experience is required; designed for beginners.
- Interactive exercises allow coding practice without setup.
- Introduces foundational Python concepts: variables, loops, functions, OOP.
- Gradually covers data structures, file I/O, and error handling.
- Capstone projects consolidate all skills into practical applications.
- Yes, includes hands-on capstone projects simulating real-world problems.
- Covers CRUD operations, object-oriented design, and file handling.
- Focuses on modular, reusable, and maintainable Python code.
- Prepares learners for small to medium-scale Python applications.
- Builds confidence to pursue web, automation, or data projects next.
- Tech startups, software development, automation, and data-driven industries.
- Roles: Entry-level Python Developer, QA Engineer, Automation Tester.
- Skills support freelancing or remote Python programming opportunities.
- Prepares learners for positions in web development, data analysis, or scripting.
- Average salaries range $65K–$95K USD depending on industry and experience.
- Fully interactive, text-based platform with instant feedback.
- Covers procedural and object-oriented programming concepts in depth.
- Hands-on capstone projects consolidate learned concepts.
- No video content, emphasizing practice-based learning.
- Ideal for learners aiming to transition into full-time development roles.
- Yes, strong foundation in Python syntax, data structures, OOP, file I/O, and error handling.
- Capstone projects reinforce problem-solving and programming logic.
- Prepares learners for advanced courses in web development, automation, or data science.
- Builds coding confidence through interactive exercises and real-world scenarios.
- Encourages self-paced learning and experimentation with Python.
