Scope Statement 

Introduction to Python - Asynchronous is a beginner-friendly, self-paced course that equips students with the fundamentals needed to read, write, and reason about Python code with confidence. Through instructor demonstrations and guided exercises, students start with the building blocks—numbers, variables, strings—and steadily progress into core data structures, control flow, functions, and an introductory look at object-oriented programming (OOP). 

As students gain comfort writing Python logic, they begin combining these skills to build small, complete programs that solve practical problems. Hands-on Jupyter Notebook exercises reinforce each concept, allowing learners to apply syntax, debug issues, and explore examples in real time. 

By the end of the course, students will be able to write clean, structured Python scripts and understand how Python’s fundamental tools work together to process data, automate tasks, and model real-world concepts. 

During this course, you will gain the skills to: 

Understand What Python Is & Why It’s Popular 

• Explain where Python is commonly used across industries (AI/ML, data science, automation, web development, cybersecurity). 

• Compare Python’s strengths and tradeoffs with other programming languages. 

Set Up & Use a Python Development Environment 

• Run Python code interactively using Jupyter Notebook. 

• Organize simple project files with clarity and consistency. 

Use Core Python Syntax to Manipulate Data 

• Work with variables, numeric operations, user input, and formatted output. 

• Understand strings and how to modify, slice, combine, and analyze textual data. 

Work with Fundamental Data Structures 

• Create, access, and manipulate lists, tuples, and dictionaries. 

• Nest collections to model more complex data relationships. 

Control Program Flow 

• Use comparison operators, conditionals, and logical operators to make decisions in code. 

• Use loops (for and while) to repeat actions and iterate through data. 

Write Reusable Logic with Functions 

• Define and call functions with parameters and return values. 

• Document function behavior using comments and docstrings. 

Apply Introductory Object-Oriented Programming 

• Understand classes, objects, attributes, and methods. 

• Build simple classes to model real-world entities. 

Build Complete Mini-Programs 

• Combine all learned skills to write small, end-to-end Python scripts that perform calculations, process text or lists, and validate user inputs. 

Capstone Assessment 

The course culminates on Day 3 with a Python programming capstone, where students will: 

• Build an interactive bank account program 

• Use data structures to store account information 

• Apply loops for program flow and menu logic 

• Write and call functions for program organization 

• Implement a basic class to model the account 

• Handle exceptions for invalid inputs 

• Produce clean, readable, well-structured code 

Each student’s program is tested through an automated set of checks to ensure it functions correctly. 
The capstone is graded Pass/Fail. 

Requirements 

To succeed in this course, students should have: 

• Basic computer literacy (file navigation, typing, downloading files) 

• Access to a computer capable of running Anaconda and Jupyter Notebook 

• Curiosity and willingness to experiment with code 

No prior programming experience is required. 

Who Should Attend? 

This course is ideal for: 

• Absolute beginners wanting a grounding in Python 

• Analysts transitioning into technical roles 

• Students preparing for future AI/ML, data science, or cybersecurity training 

• Professionals who want to automate simple tasks or explore programming fundamentals 

• Anyone who wants a clean, approachable introduction to coding 

If you want to understand how Python works—and begin building real programs from day one—this course sets the foundation. 

Why This Course Matters 

Python is one of the world’s most versatile, accessible programming languages. 
Learning it opens doors to: 

• Data science & machine learning 

• Automation & scripting 

• Application development 

• Cybersecurity tooling 

• Cloud and DevOps workflows 

• Everyday problem solving 

This course teaches Python the right way: hands-on, structured, and grounded in real applications—not theory alone. 

By the end, you won’t just know Python syntax—you’ll know how to think in Python, write clear code, and solve problems with confidence.