Web Development Lessons – Learn HTML, CSS, JavaScript, React and Build Real Websites

From 28 $ /h

Learn web development through practical, hands-on lessons designed to help you understand how modern websites are actually built.

Lessons can cover HTML, CSS, JavaScript, responsive web design, React, website creation, Git and GitHub, development tools, testing and deploying websites online.

Rather than focusing only on theory, we'll work through practical exercises and projects so you can apply what you're learning and gradually build your own websites.

Lessons can be adapted around your current experience and goals. Whether you're completely new to coding, already learning web development, working on your own project or looking to strengthen your existing skills, we can focus on the areas where you need the most support.

Topics can include:

• HTML and website structure
• CSS and responsive design
• JavaScript fundamentals
• React and component-based development
• Website creation and development
• Git and GitHub
• Development tools and debugging
• Testing websites
• Deploying projects online
• Building portfolio projects
• Understanding the web development process

The aim is not simply to give you answers, but to help you understand why things work, how to solve problems independently and how the different parts of web development fit together.

Location

Online from United Kingdom

About Me

I am a technology professional and the founder of MacDonald Digital Solutions, a digital learning business focused on making practical technology skills more accessible.

My own journey into technology involved developing skills through structured training and hands-on projects, which has given me a strong understanding of what it is like to learn technical subjects from the beginning.

Through MacDonald Digital Solutions, our aim is to help people develop practical digital skills that they can use for personal development, education, career progression or their own projects.

My teaching style is friendly, patient and practical. I believe people learn technology best by understanding the fundamentals and then applying them through real exercises and projects rather than simply memorising information.

Lessons are adapted to the learner's current ability and goals, whether they are completely new to technology or looking to strengthen skills they have already started developing.

Education

Full Stack Development Traineeship – IT Career Switch
AWS re/Start Cloud Computing Programme - Generation UK
CodeYourFuture – Software Development Training
Generation UK – Data & Technology Training

Experience / Qualifications

Experience across technology, software development, service delivery and business environments.

Practical experience building web applications and websites using technologies including HTML, CSS, JavaScript, React, TypeScript, Node.js, Git and GitHub.

My background also includes more than 15 years of experience in retail management and customer-focused environments, giving me experience in communication, coaching, problem-solving and supporting people with different levels of knowledge and confidence.

I have completed technology training through programmes including IT Career Switch, AWS re/Start, CodeYourFuture and Generation UK.

Age

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

French

Skills

Web development

Computer programming

Software engineering

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

Data & Business Analytics – Excel, Data Analysis, Reporting and Business Insights

40 $ /h

Learn practical Data and Business Analytics skills through structured, hands-on lessons designed around your experience and goals.

These lessons are suitable for beginners and developing learners who want to understand how data can be collected, analysed, interpreted and used to support business decisions.

Lessons can cover Excel, data cleaning and preparation, spreadsheets, formulas and functions, data analysis, data visualisation, dashboards, reporting, KPIs, business requirements and turning raw data into useful business insights.

Depending on your goals, we can also explore tools and concepts used within real business environments, including Power BI, databases, data quality and business reporting.

Lessons are practical rather than purely theoretical. We can work through exercises, datasets, business scenarios and projects so you understand not only how to use the tools but also why particular approaches are used.

Lessons can be adapted for people starting from scratch, students developing their analytical skills, professionals wanting to improve their confidence with data, or people considering a career in Data or Business Analytics.

Digital Marketing – Social Media, Content, SEO and Online Business Marketing

40 $ /h

Learn practical digital marketing skills and understand how businesses use online channels to reach customers, build their brand and grow their digital presence.

Lessons are tailored around your current knowledge and what you want to achieve, whether you're learning digital marketing for the first time, developing your professional skills, promoting your own business or exploring a career in digital marketing.

Topics can include social media marketing, content creation and planning, brand positioning, understanding target audiences, customer journeys, digital advertising, SEO fundamentals, website marketing and developing a digital marketing strategy.

We can also explore how different digital channels work together and how businesses measure the effectiveness of their marketing using analytics, engagement, conversions and other key performance indicators.

Lessons focus on practical learning using examples, exercises and real-world business scenarios rather than simply studying marketing theory. Where appropriate, we can work on creating marketing plans, content strategies and campaigns that allow you to put what you learn into practice.

No previous digital marketing experience is required for beginner lessons.

Youssef

4.85

(13)

Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

Mathieu

4.85

(13)

With 7 years of experience as a developer in a Factory, I now develop Wordpress websites for large groups.

In the training program, you will learn to:

- Install, configure, and deploy WordPress sites
- Develop custom Wordpress themes and plugins
- Use powerful tools like ACF Pro, Gravity Forms, WPML, AIOS Security, WP rocket...
- Create custom post types and tailor-made taxonomies
- Develop pages using the right methods in HTML, CSS, Javascript & PHP
- Administer and manage a site database
- Contribute to the good natural referencing (SEO) of your site
- Use WP-Cli to speed up the maintenance of your sites
- Use Docker to containerize your local/prod projects and facilitate their management
- Administer your WP sites the right way
- And much more...

For any questions, you can contact me by PM.

See you soon,
Matthew

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Giuliano

4.85

(13)

Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

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.

Nadeesha

4.85

(13)

I specialize in teaching ICT, computer science, and programming to help students develop essential digital skills for today's tech-driven world. My lessons are designed to guide you through both foundational concepts and more advanced topics, depending on your current level. I teach you very easy methods to understand complex parts of programming, breaking down difficult concepts into simple, digestible steps. Whether you’re a complete beginner looking to understand basic computer operations or an advanced learner aiming to master coding, networking, or system administration, I tailor each lesson to your needs. You will work on real-world projects, and I will provide exercises to reinforce learning and track your progress. Let's build your technical expertise together!

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.

Amr

4.85

(13)

# **Master C/C++: Build the Foundation of Modern Software Development**

Unlock the power of one of the most influential programming languages in computing history! Whether you're an absolute beginner or looking to deepen your expertise, this comprehensive C/C++ course delivers structured learning from fundamentals to advanced concepts that power operating systems, game engines, and high-performance applications.

## **Why Choose This C/C++ Program?**

**Industry-Relevant Curriculum:** Learn expert guidance on the design of effective classes, functions, templates, and inheritance patterns that form the backbone of professional C++ development. Move beyond basic syntax to understand how to write clean, efficient, and maintainable code that stands the test of time.

**Templates & Generic Programming Mastery:** Go beyond introductory material with in-depth coverage of templates—the cornerstone of modern C++—enabling you to create robust, reusable code components that work across multiple data types. Discover how function templates, class templates, and variadic templates work to maximize your coding efficiency.

**Practical, Hands-On Approach:** This isn't just theory! You'll build real-world projects that demonstrate memory management, object-oriented programming, and system-level programming techniques used in today's technology landscape.

## **Your Learning Journey**

Our structured path takes you from writing your first "Hello World" program through advanced template metaprogramming, with special attention to modern C++ standards (up to C++20). You'll gain the confidence to tackle complex programming challenges and understand the "why" behind effective C++ practices—not just the "how."

## **Transform Your Career Today**

C/C++ skills remain in high demand across industries from finance to gaming to IoT. By mastering these foundational languages, you'll develop problem-solving abilities that translate to any programming environment.

Verónica

4.85

(13)

Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Baia

4.85

(13)

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects

منال

4.85

(13)

📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint.

📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed.

🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way

Peninah

4.85

(13)

Microsoft Excel is a powerful Microsoft corporation application that helps one do various mathematical, statistical and logic operations on data sets. It's a powerful tool for data analysis.

In this lesson you will be introduced to Microsoft Excel, it's importance and the basic features of the Microsoft Excel user interface.

Tabitha

4.85

(13)

Have you ever wanted to learn how websites are created but didn’t know where to start? This class is designed for complete beginners who want to learn web development in a simple, practical and enjoyable way.

I will guide you step by step through the fundamentals of HTML, CSS and JavaScript, helping you understand how websites are structured, styled and made interactive.

In this class, you will learn how to:

- Understand the basics of web development and how websites work
- Use HTML to create the structure of a webpage.
- Use CSS to add colours, layouts, fonts and styles.
- Get started with JavaScript and understand basic website interactivity.
- Write and organise simple code.
- Build your first basic webpage through practical exercises.

No previous coding experience is required. We will learn at your pace, with clear explanations, hands on practice and time to ask questions.

My goal is to help you build a strong foundation in web development and gain the confidence to continue learning and creating your own websites.

Azhar

4.85

(13)

Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects