Beginners Creative Coding for Artists using Processing

From 23.67 € /h

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

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

Skills

Computer programming

Animation

Digital arts

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Beginners Music Production with Logic Pro or Garageband

23.67 € /h

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!

4.85

(13)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Matías

4.85

(13)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Adam

4.85

(13)

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?
- Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook).
- First program: *"Hello, World!"*.

2. Python Basics (20-30 min)
- Variables and data types (integers, strings, lists).
- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).

3. Practical exercises (20-35 min)
- Write a program to calculate the sum of two numbers provided by the user.
- Create a simple application, like a currency converter or password generator.
- 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.
- Learning by doing: examples and exercises are designed to help you assimilate concepts quickly.

---

Target audience
This course is ideal for:
- Complete beginners in programming.
- Students or professionals wishing to acquire skills in Python for their personal or professional projects.
- Anyone curious to discover a powerful and versatile tool for solving problems.

---

Benefits of this online course
- Teaching by an experienced and passionate trainer.
- 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!

---

Amin

4.85

(13)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Zakaria

4.85

(13)

* This digital training aims to introduce you to the Scratch tool and through the game world, and gradually, to discover programming concepts such as loops, conditions or variables. It is aimed at anyone who is new to Scratch and who wants to create games and animations.

* Learning programming will allow students to develop their skills and will certainly allow them to meet the expectations of the future working world and emerging careers.

* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.

Salah

4.85

(13)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

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.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Amine

4.85

(13)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Baia

4.85

(13)

Code Your Ideas Into Reality 💻🚀
Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn.

✨ No experience needed.
🧠 Learn by doing - real apps, real logic.
🌍 Build skills for school, work, or freelance life.

Let’s turn your curiosity into code. First session gets you started!

Sandrine

4.85

(13)

Do you want to create your own website, understand how the code works, or master WordPress to become self-sufficient? I offer personalized online courses to help you learn step by step, with clarity and pedagogy.

👩‍🏫 What I propose:

* Introduction and improvement in HTML & CSS
* Using the Terminal (basic commands, Git, working environment)
* Creation of sites with WordPress (installation, themes, extensions, pages, basic SEO)
* Support for your personal or professional projects
* Advice on best practices and organization of your code

🎯 For whom?

* Complete beginners
* Freelancers, coaches, content creators
* Students or people in digital retraining
* Anyone curious to learn how to create a website

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

⏰ Flexible hours – 1 hour, 1.5 hour or 2 hour sessions
💶 Available packages
🌍 100% Online Courses – Wherever You Are!

See you soon.
Sandrine.

Hayat

4.85

(13)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Kevin

4.85

(13)

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.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.

Elene

4.85

(13)

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.

Meriem

4.85

(13)

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.

Farouk

4.85

(13)

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

Dani

4.85

(13)

This course provides a comprehensive and professionally structured introduction to computer networking and data communications. It is designed for students who aim to build a strong technical foundation aligned with industry standards such as the Cisco Certified Network Associate (CCNA).

Course Topics Include:

Network architecture and reference models (OSI and TCP/IP)

IPv4 addressing, subnetting, CIDR, and basic IPv6 concepts

Switching fundamentals (MAC address tables, VLANs, trunking)

Routing principles and static routing configuration

TCP and UDP protocols, ports, and socket communication

Core network protocols (ARP, ICMP, DNS, DHCP, HTTP/HTTPS, FTP)

Network infrastructure devices (routers, switches, firewalls, wireless access points)

Introduction to network security fundamentals

Basic network troubleshooting methodologies and CLI analysis

The teaching methodology combines structured theoretical explanation with practical examples to ensure students understand how real-world networks operate in enterprise and campus environments. Packet flow analysis and scenario-based exercises help bridge theory with practical implementation.

Target Audience:

High school and university students in Computer Science, Information Technology, or Engineering

Beginners preparing for CCNA certification

Individuals seeking a strong networking foundation before advancing to cybersecurity, cloud computing, or advanced infrastructure studies

By the end of the course, students will confidently understand how data travels across networks, how routing and switching function, and how modern network infrastructures are designed, implemented, and managed.