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Since February 2026
Instructor since February 2026
Practical Programming & Web Development (Python, JavaScript, CSS, WordPress & UI/UX)
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From 39.15 C$ /h
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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.
Extra information
Classes are conducted fully online.
Students receive structured lesson plans, practice materials, and post-class feedback.
Stable internet connection and a quiet learning space are recommended.
Location
location type icon
Online from Singapore
Age
Infants (0-3 years old)
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
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
This online science class helps students understand scientific concepts clearly, think analytically, and perform confidently in assessments. I teach General Science, Physics, and Chemistry, supporting learners from different curricula and academic levels.

Complex topics are broken down into simple, understandable steps, making science less intimidating and more engaging. Students learn how to explain scientific ideas clearly, apply concepts to problem-solving, and approach exam questions with confidence.

I have worked with students following Cambridge, IGCSE, GCSE, IB, and other national programs. Lessons are interactive, structured, and designed to close learning gaps while strengthening foundational understanding.

By combining clear explanations, guided practice, and exam preparation strategies, I help students move from confusion to clarity and from uncertainty to confidence.
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This online English class supports students in developing strong communication skills, academic confidence, and clear expression in both spoken and written English. I have worked with learners from diverse countries and language backgrounds, helping them move beyond textbook knowledge into practical, confident use of English.

Lessons focus on reading comprehension, structured writing, vocabulary development, grammar accuracy, pronunciation, and speaking fluency. Students preparing for school assessments or international exams such as IELTS receive targeted support designed to strengthen performance and reduce exam anxiety.

I tailor each session to the student’s level, learning style, and goals. Some learners need help organizing their thoughts in writing, others need to build confidence speaking — my role is to identify those needs and guide them step by step.

My approach combines structured lessons, guided practice, and consistent feedback, helping students grow in both skill and confidence.
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►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.

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►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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Understand theory topics like algorithms, logic gates, and networks

Write, test, and debug programs step-by-step

Solve structured past paper questions confidently

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🔢 Variables

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✨ Clear explanations to understand the programming logic

📝 Targeted exercises adapted to your level

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🔍 Helping you understand the logic behind the code

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This course shows students how AI is the engine behind modern video games. It’s an engaging, project-based track ideal for advanced concepts in a fun, relatable environment.

Behavioral AI: Using simple visual programming environments (like Scratch or similar platforms) to program smarter Non-Player Characters (NPCs) that react realistically to the player's actions.

Generative Assets: Learning how game studios use generative AI tools to rapidly create textures, background stories, or simple game environments.

Interactive Storytelling: Exploring decision-tree logic and how AI can adapt game narratives based on player choices, making the game feel dynamic and intelligent.

SEN Alignment: The visual and immediate feedback loop of game design environments is highly effective for kinetic learners and helps maintain focus.
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