Web Design and Data Analytics: Building Effective and Responsive Websites and Understanding and Analyzing Complex Data Sets

From 26 £ /h

This class is designed to provide students with a foundational understanding of web design principles and techniques. The course will cover a variety of topics including HTML, CSS, layout design, color theory, typography, and responsive design.

Students will learn how to create a website from scratch, starting with the basic structure of an HTML document, and then adding styling and layout using CSS. They will also explore the design principles that are essential to creating an effective and aesthetically pleasing website, such as color schemes, typography, and spacing.

The class will involve a combination of lectures, discussions, and hands-on exercises to help students develop their design skills. Students will be required to complete several projects throughout the course, including designing a simple website and creating a responsive design that works on multiple devices.

By the end of the class, students will have gained the skills and knowledge necessary to create functional and visually appealing websites that are optimized for a variety of devices and platforms. This class is ideal for anyone who wants to learn the basics of web design, including individuals interested in creating their own personal or professional websites, as well as designers and developers who want to expand their skillset.

Extra information

1. Prerequisites: None, but basic computer skills are recommended.
2. Required materials: Students will need a laptop with internet access and a text editor (such as Notepad++ or Sublime Text) installed. It is recommended that students have a modern web browser (such as Chrome or Firefox) installed as well.
3. Class format: Each class session will consist of a lecture and a hands-on exercise.
4. Grading: Students will be graded on their participation in class discussions, completion of in-class exercises, and completion of several projects. There may also be a final exam or project.
5. Attendance policy: Students are expected to attend all class sessions. If a student needs to miss a class, they should notify the instructor in advance and make arrangements to catch up on any missed material.
6. Office hours: The instructor will hold regular office hours each week to provide additional support and answer any questions students may have.
7. Course materials: Lecture slides, assignments, and other course materials will be posted online and accessible to students throughout the course.

Location

Online from United Kingdom

About Me

With a strong background in web design and development, I am dedicated to helping my students develop the skills and knowledge they need to succeed in this constantly evolving field. I am experienced in working with a range of web design tools and data analytics technologies, including HTML, CSS, color theory, typography, responsive design, Python, SQL, and more.

My approach to teaching emphasizes a collaborative and supportive learning environment that fosters creativity, critical thinking, and problem-solving. I believe that effective web design is not just about creating visually appealing websites but also about designing user-friendly interfaces that meet the needs of the audience. In my classes, I strive to strike a balance between theory and practical experience, allowing my students to gain hands-on experience and develop their portfolios.

I understand that each student learns differently, and I am committed to adapting my teaching style to meet their unique needs and learning styles, whether working individually or in groups. My priority is to provide personalized guidance and support to help my students achieve their goals.

As a data analytics tutor, I bring my experience in data analysis, statistical analysis, programming languages such as Python, and database management to the table. I believe that data is essential to making informed decisions and driving business strategies. In my classes, I equip my students with the skills and knowledge they need to analyze, visualize, and interpret complex data sets, and use these insights to inform decision-making.

My teaching philosophy is to provide a hands-on and practical approach to teaching data analytics, using real-world examples and case studies to help my students understand how to apply their skills in different contexts. I believe that developing critical thinking, problem-solving, and communication skills are essential to success in the field, in addition to understanding the technical aspects of data analytics.

Overall, my goal as a tutor in both web design and data analytics is to help my students achieve their goals, build their confidence, and develop the skills and knowledge they need to succeed in these exciting and dynamic fields.

Education

Master of Science: Data Analytics 01/2023
De Montfort University - Leicester, LCE
Bachelors of Science: Pure and Applied Mathematics 08/2018
Ladoke Akintola University of Technology- Nigeria

Experience / Qualifications

Data Analyst Instructor 08/2022 - current
Code First Girls( London)

Science Instructor 03/2021 - Current
Realcare Tech Mark(Leicester)

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Skills

Web design (website design)

Oracle database

Python

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

Matías

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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.

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Learning to program at the university or engineering school level is not just about writing lines of code: it's about learning to analyze complex problems, construct logical reasoning, and develop effective solutions. Holding a PhD in Computer Science and a State Engineering Diploma, I bring my more than 35 years of experience to bear on helping students and professionals achieve complete mastery of programming.

Expertise and Pedagogy through Practice
Whether you're preparing for an exam, a complex academic project, or a technical interview, my goal is to make you completely independent. We will work together on:

Essential languages: Python, Java, and SQL (databases).

Advanced algorithms and data structures.

Object-Oriented Programming (OOP).

Optimization, structured design and debugging of your programs.

Rather than memorizing code, you will acquire the good programming practices required in higher education and business, including the thoughtful use of assistive tools (AI) to verify and improve your solutions.

Work Environment and Requirements
Programming requires precise, interactive, and technical guidance. Therefore, it's essential to note that the course is conducted via webcam and video conference with screen sharing. This format allows us to write, test, and debug your code together in real time, ensuring extremely rapid progress.

To ensure a serious and immediate commitment to your development projects, a trial lesson or brief webcam chat is not part of my approach. We dive straight into analyzing your code and resolving your issues from our very first session.

Support Formats

60-minute session: Ideal for unlocking a specific bug, understanding a complex algorithmic concept, or correcting a targeted program.

90-minute session: Recommended for making significant progress on a university project, preparing for a computer science exam, or undertaking a complete refresher course.

I would be delighted to pass on to you the rigor and technical expertise that will allow you to excel in computer science.

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Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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With the latest technologies and techniques at your fingertips, the possibilities are endless!

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Do you want to create your own software?
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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!

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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.

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Python fundamentals through a finance lens (data structures, functions, control flow).
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Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

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Private Programming Lessons for you / your family / your company employees
Programming Tutor – IGCSE & Computer Science Subjects
Deeper understanding, stronger results

• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

• Teaching curricula, syllabuses, courses:
o IGCSE (Computer Science 0478, ICT 0417)
o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

• Master office applications to improve your job performance.
• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
• Theoretical and practical training for market requirements
• Don't miss out on technology. Lessons are designed for the elderly, in a simple and understandable way (use of computers and their programs, use of mobile phones, dealing with the Internet and social media).
• Lessons are available in person or online.

Adam

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🐍 Python Course – Learn to code and create your projects!

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✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

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Areas I cover regularly:

Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas
C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation
GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique
A-Level NEA projects and university coursework, plus debugging sessions and code review
Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally

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First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better.

Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.

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Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

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Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation.

Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.

Anatole

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