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Since January 2025
Instructor since January 2025
Beginners Creative Coding for Artists using Processing
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From 23.8 € /h
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Dive into the world of creative coding with Processing, a powerful and accessible tool for artists and aspiring creators. This beginner-friendly workshop is designed to help you unlock new artistic possibilities by combining coding with visual expression.

In this course, you’ll learn how to:

-Create unique visuals and animations using Processing.
-Use code as a medium for artistic exploration and design.
-Experiment with shapes, colors, and patterns to produce dynamic, generative art.
-Apply interactive elements to your work, such as mouse and keyboard inputs.

**No prior coding experience is necessary**—just bring your passion for creativity and a willingness to experiment. By the end of this workshop, you’ll have the skills to create your own digital masterpieces and a portfolio-ready project to showcase your newfound abilities.

Unlock the potential of code as your artistic tool. Start your journey into digital creativity today!
Extra information
Requires a computer with Processing installed; Processing is free software available from processing.org
Location
location type icon
Online from United Kingdom
About Me
Hi, my name is josh. I'm an Artist, Designer, Musician, Creative Technologist and educator with over ten years experience teaching art and creative media to adults and young adults in and outside of higher education. I'm interested in sharing creative technology skills in order to empower people to expand their creative skillsets and broaden their ways of thinking.
Education
I have a Bachelor of Fine Art degree in Art and Music technology from CalArts where I achieved honours with distinction, and Master of Fine Art degree in Art Studio Practice from Glasgow School of Art.
Experience / Qualifications
4 years teaching art and design in higher education. More than 6 years teaching outside of higher education. More then ten years experience as a practicing artist, designer and musician.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Duration
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Have you ever wanted to create your own music but didn’t know where to begin? This beginner-friendly workshop is the perfect introduction to music production, using either Logic Pro or GarageBand. These powerful, easy-to-use tools are ideal for turning your musical ideas into reality—no prior experience needed!

In this course, you’ll learn how to:
- Navigate the basics of Logic Pro or GarageBand with simple, step-by-step guidance.
- Record melodies and beats using MIDI and audio tracks.
- Explore built-in instruments and effects to add depth and character to your music.
- Save and share your finished songs with ease.

Designed specifically for complete beginners, this workshop requires no prior music production or technical skills—just your enthusiasm and creativity. By the end, you’ll have created your very first track and gained the confidence to continue making music.

Start your music-making journey today and see how easy it is to bring your ideas to life with Logic or GarageBand!
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This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding.

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---

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---

Course syllabus
1. Introduction (10-15 min)
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---

Teaching methodology
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---

Target audience
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

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Upon completion of this training, you will be able to:

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Understanding the concept, objectives and benefits of OOP.
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Why unstructured code quickly becomes unmanageable.
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Properties, methods and representation of the real world.
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Understanding the execution context (often poorly understood).
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Sharing methods and memory optimization.
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Protect the internal state of objects.
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At the end of the training, you will not only know how to write a JavaScript class.
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This advanced course builds on programming fundamentals using Python (programming language) and is designed for students who want to deepen their programming knowledge.

The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.

Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.

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Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.

• Review of programming fundamentals and functions
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• Nested loops and complex data handling
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• GUI development using Tkinter
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This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding.

Online Course: Introduction to Python - Programming Basics and Simple Applications

Duration :
- 60 minutes: intensive format to learn fundamental concepts.
- 90 minutes: In-depth format with more time for practical examples and interactive questions.
---

Educational objectives
At the end of the course, participants will be able to:
1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops.
2. Write and run simple Python scripts.
3. Manipulate inputs and outputs to interact with the user.
4. Solve practical problems with short, functional programs.

---

Course syllabus
1. Introduction (10-15 min)
- Presentation of Python: Why this language?
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- First program: *"Hello, World!"*.

2. Python Basics (20-30 min)
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- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).

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- Bonus for 90 min format: Fixed a more complex issue involving lists or loops.

4. Q&A and conclusion (5-10 min)
- Summary of the concepts covered.
- Suggestions for resources to continue learning.
- Feedback on the course.

---

Teaching methodology
- Interactive and engaging: the course combines theoretical explanations with practical exercises.
- Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time.
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---

Target audience
This course is ideal for:
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- Anyone curious to discover a powerful and versatile tool for solving problems.

---

Benefits of this online course
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- Interactive sessions adapted to your learning pace.
- Access to educational materials and exercises to continue practicing after the course.

Join us now to discover programming and its applications using Python!

---
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Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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Welcome to my Programming Projects Support class!

Are you facing hurdles with your programming projects? Let's tackle them together!

As a Geophysics PhD student, I rely heavily on programming tools like Matlab, Python, and R for data analysis, mathematical modeling, plot results and much more.

After a lot of requests from students I created this course which is specifically meant to give you support completing your final programming projects.

Here's what you can expect:

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Whether you require a single session or a series of in-depth consultations, my goal remains the same: to help you break through programming barriers and achieve your goals.

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My lessons are aimed at teaching a method that can allow student's autonomy in using Max/MSP programming language and the Gen/Gen~ environment. The neophyte can benefit from a practical method, which focuses on the constant exchange between theory and practice; the advanced student will benefit from the refinements of their practice in patch design.
Ideally, the student will be able to be independent in some months.

Students can expect partial covering of DSP topics for music. If needed, a specific lesson can be requested.
Students are invited to present their works and patches, and can expect to discuss them in detail.

Students are expected to be present for each scheduled class, not late, and to avoid a rude or disrespectful beahviour.

DISCLAIMER

I am learning Dutch as for September 2024. As you can understand, I am not able to sustain a lesson in Dutch. So, for the moment, only in English or Italian...
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* Advice on best practices and organization of your code

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* Complete beginners
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💡 Method: Interactive video lessons (Zoom/Meet), screen sharing, practical exercises, and flashcards. You progress at your own pace, with real support and simple explanations.

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For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

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Taught by an engineering student with hands-on experience in both C++ and Python, this course empowers students to explore the power of code and build a strong foundation in computational thinking — essential for future studies in engineering, robotics, AI, or game development.
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I teach digital painting with a focus on clarity, structure, and outcome. You’ll learn how to control digital brushes, build convincing lighting, use color intentionally, and create textures that add depth. We’ll move from the basics of composition to the challenges of designing characters, surreal environments, and expressive scenes.

By the end, you’ll produce portfolio-ready artworks and understand a professional workflow from sketch to finish. Each session combines hands-on exercises with discussion of artistic choices, so you strengthen both technical skill and creative judgment.

This course is for beginners and intermediate artists who want to go beyond tutorials and actually build a body of polished, original work.
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Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.
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This is not a class; it is the strategic starting point for your child's success in the digital future.

This 60-minute session is a premium diagnostic evaluation conducted by a Technology Educator with over 10 years of experience and specialized in SEN pedagogy. It is designed to go beyond simple tutoring:
This session is divided into three parts: Discovery, Diagnostic, and Deliverable.

1. Discovery & goal setting
- Technology Fluency Check
- The "Why" & The "Fear":
- SEN & Learning Style Review

2. Diagnostic & assessment
- The AI Myth Buster Test
- Prompt Engineering Trial
- The learning process
- Ethical Scenarios

3. Deliverable & Roadmap

3-Phase Roadmap: Upon completion, you will receive a Personalized Learning Roadmap detailing exactly:
The 3-5 priority AI concepts the student should master.
The safest and most age-appropriate AI tools for their needs.
A recommended coaching plan to build their confidence, creativity, and critical thinking.

Precise and specialized educational plan that guarantees your child will not only understand AI, but learn how to master it ethically and independently.
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This online programming class is designed for students who want to build real technical skills in computer science and web development — not just learn theory, but actually create and understand how systems work.

I teach:

• Python programming (fundamentals, logic building, problem-solving, data handling)
• JavaScript (core concepts, DOM manipulation, interactivity)
• CSS (styling, layout systems, responsive design)
• Website Development (front-end foundations and structure)
• WordPress Development (customization, site building, content management)
• UI/UX Fundamentals (design thinking, layout clarity, user experience principles)

Students learn how to think computationally, break down problems logically, and build structured solutions. Lessons are practical and project-based, meaning students don’t just watch — they build.

For beginners, we focus on strong foundations: understanding how code works, writing clean syntax, and developing confidence in debugging.
For intermediate learners, we move into structured projects such as creating simple websites, improving layout design, adding interactivity, and understanding how front-end components connect.

My approach emphasizes clarity, structure, and application. I help students understand not only what to type, but why it works — which is the difference between copying code and truly understanding it.

This class is suitable for:
• School students exploring computer science
• Beginners transitioning into tech
• Learners preparing for academic computer science courses
• Individuals interested in web development skills

All sessions are fully online, interactive, and tailored to the student’s pace and goals.
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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This advanced course builds on programming fundamentals using Python (programming language) and is designed for students who want to deepen their programming knowledge.

The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.

Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.

The course covers practical implementation of nested loops, nested lists, tuples, and dictionaries, as well as an introduction to data structures and algorithmic thinking.

Additional topics include graphical user interface development using libraries such as Tkinter, along with introductory concepts in data science and machine learning using Python.

Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.

• Review of programming fundamentals and functions
• Object-Oriented Programming (OOP) concepts
• Polymorphism, inheritance, abstraction, and encapsulation
• Data structures basics
• Nested loops and complex data handling
• Lists, tuples, and dictionaries
• Introduction to algorithms
• Working with Python libraries
• GUI development using Tkinter
• Introduction to data science and machine learning concepts
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