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All About Python Level 4 | Python Class for Intermediates

This 10-week advanced Python programming course beyond basic coding, teaching professional software development concepts through engaging projects like game development, algorithm visualization, and machine learning.
David Sofield
Average rating:
4.9
Number of reviews:
(801)
Popular
Class

What's included

10 live meetings
10 in-class hours
Assignments
1-2 hours per week. Students will work on more challenging practice questions that require them to apply everything they learned in Level I & II. These challenges should be expected to take 1- 2 hours per week.
Projects
7 or more throughout the class
Assessment
1-2 throughout the class
Certificate of Completion
1 after class completion

Class Experience

US Grade 7 - 10
Intermediate - Advanced Level
Transform your learners coding interest into real programming expertise with All About Python Advanced Python Programming course. This comprehensive 10-week program goes beyond basic coding to teach professional software development concepts used in industry today. Students will progress from understanding fundamental programming principles to creating their own applications, games, and even basic artificial intelligence systems. Through hands-on projects and interactive learning, students will gain experience with the same tools and techniques used by professional developers at leading tech companies.

The curriculum combines computer science theory with practical application, carefully designed to challenge and engage teenage minds. Students will learn multiple programming approaches, explore algorithm design, create user interfaces, and even dive into machine learning – all while building projects they can proudly share with family and friends. The course emphasizes problem-solving skills and creative thinking, ensuring students not only learn to code but also develop the analytical abilities crucial for future academic and career success in any STEM field.

Projects Portfolio
Students will complete a series of engaging projects, each building upon previous knowledge:

Multi-paradigm Calculator

Interactive calculator with advanced features
Professional error handling
Multiple programming approaches

Text Adventure Game

Character and inventory systems
Game state management
Interactive storytelling elements


Algorithm Visualizer

Visual representation of sorting algorithms
Performance comparison tools
Interactive controls


Pathfinding Game

Maze generation and solving
Visual path-finding algorithms
Performance optimization


Weather Prediction System

Real-time data processing
Basic machine learning implementation
Interactive data visualization


Custom GUI Application

Professional user interface design
Event handling
Data presentation


Final Project (Student's Choice)

Game Development
Data Science Application
Algorithm Visualization Tool
Or student-proposed project


Interactive Groups Build the Foundation of Code Skills

Every learner is strongly encouraged to post questions, sample code, and their projects every step of the way. This gives students the chance to learn from each other and start practicing reading code. The instructor will also be providing feedback and guidance regularly throughout the course.
Learning Goals
Through hands-on projects including algorithm visualization, game development, and basic machine learning applications, students will develop practical software engineering skills such as project planning, code organization, debugging, and testing.
Students will gain confidence by completing a portfolio of projects that demonstrate their ability to solve problems programmatically, culminating in a final project that showcases their ability to design, implement, and present a software solution.
learning goal

Syllabus

10 Lessons
over 10 Weeks
Lesson 1:
Programming Paradigms Introduction
 Students will explore different approaches to writing code, learning how to choose the right tool for each programming challenge. This foundational week introduces students to various ways of organizing code, setting them up for success in more advanced topics. Through building a multi-functional calculator, students will gain hands-on experience with different programming styles while learning the importance of writing clear, maintainable code. 
60 mins online live lesson
Lesson 2:
Object-Oriented Programming Deep Dive
 This week focuses on object-oriented programming (OOP), a powerful way to organize code that's used in many real-world applications, including video games and mobile apps. Students will learn how to create and structure their code like professional developers by building a text-based adventure game. This project-based approach helps students understand complex programming concepts while creating something fun and engaging. 
60 mins online live lesson
Lesson 3:
Functional Programming Foundations
 Students will learn functional programming, a modern approach used by companies like Amazon and Facebook to process large amounts of data reliably. By creating data processing systems, students will understand how to write code that's easier to test and debug. This week's skills are particularly valuable for future data science and software engineering careers. 
60 mins online live lesson
Lesson 4:
Algorithms in Python
 Students dive into the world of algorithms, learning how computers make decisions and solve problems efficiently. Using interactive visualizations, they'll explore different ways to sort and search through data, gaining skills crucial for computer science studies and coding interviews. This hands-on approach helps students understand complex concepts by seeing them in action. 
60 mins online live lesson

Other Details

Parental Guidance
Learners will use the PyCharm Community Edition for this class, which is a free download. PyCharm is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) as references throughout the class. The NASA API will be utilized for our API project using real science data. Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn will be utilized in the latter part of the course for data science and machine learning projects.
Pre-Requisites
Learners should have a strong grasp of coding fundamentals. This includes conditional statements, functions, loops, and arrays/lists. Learners should have completed comprehensive multi-week beginner level coding class.
Supply List
Students will continue learning more about Python and start exploring a wide variety of projects. Students will also explore more uses for Python, including working with data, interactive graphical user interfaces, and data science.
Joined April, 2020
4.9
801reviews
Popular
Profile
Teacher expertise and credentials
Bachelor's Degree from Mount St. Mary's University
Over 5,000 students from nearly 100 countries across a variety of platforms have started coding in one of my classes. I offer classes covering the foundations of Python and AI. I am the author of the soon-to-be released book All About Python for Kids.  Before teaching, I worked as a software developer for nearly 10 years. I've worked for organizations including Apple, Dell, and Best Buy. I believe the best way to learn is by doing and all my classes are based around hands-on projects that progressively build in difficulty.  I'm a graduate of Mount St. Mary's University in Emmitsburg, Maryland. I can't wait to meet your learner in the class and get started soon. 

Reviews

Live Group Course
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$33

weekly or $329 for 10 classes
1x per week, 10 weeks
60 min

Live video meetings
Ages: 11-16
6-12 learners per class

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