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

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• Algorithms & Logic: Design of algorithms, data structures and solving complex problems.

• Modern Methods & AI: Learning to intelligently use programming assistants and AI tools (like ChatGPT) to optimize workflow, understand errors, and code more efficiently.

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A digital and interactive methodology:
The courses are conducted entirely online via an interactive platform. I make extensive use of modern tools such as screen sharing and real-time problem-solving with feedback, ensuring active learning and rapid assimilation of best development practices. The approach is practice-oriented to develop immediately applicable skills.

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What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
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- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
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- 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.
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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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Jonathan

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The classes are held online, but you can inquire about my travel arrangements.

Danka

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What You Will Learn:

The Building Blocks: Master variables, loops, and conditional logic (the "if/then" of the world).

Problem Solving: Learn how to think like a programmer to break down complex problems into small, solvable steps.

Data Structures: Understand how to organize information using lists, dictionaries, and tuples.

Why this class:

Peer-Tested Methods: I’ve mentored peers through the toughest parts of STEM, so I know exactly where beginners usually get stuck.

Modern Tools: We use the same tools the pros use (VS Code, GitHub, and terminal basics).

Certificate Focused: This class prepares you for more advanced tracks, such as Web Development with Django or Data Science.

Who Is This For:

High school students looking to get ahead in CS.

Total beginners who want a patient, one-on-one mentor.

Creatives who want to understand how the technology they use actually works.

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In the program :
The content is adapted to your pace, but generally follows this progression:

Installation & Setup: Configure your working environment (VS Code, PyCharm or IDLE).

The Fundamentals: Variables, data types (numbers, lists, dictionaries) and basic operations.

Programming Logic: Mastering conditions (if/else) and loops (for/while) to give intelligence to your code.

Functions & Modularity: Learn how to structure your code so that it is clean and reusable.

My Methodology
80% Practice: You learn better by typing code than by looking at slides.

Positive Pedagogy: No judgment, we move forward step by step. Every mistake is an opportunity to learn.

Personalized Support: I adapt to your specific objectives (homework help, personal project or intellectual curiosity).

I am a specialist in Information Technology (ICT), Networking, and Programming, with many years of experience in IT, software development, and technical education. I provide professional and simplified instruction in Python, C++, and Dart, emphasizing practical understanding and real-world application of programming and networking concepts. I am capable of teaching and following up on ICT and computer science curricula for various Arab and international educational systems, including those in Saudi Arabia, Qatar, and others, adapting the content to suit the student's level and achieve optimal academic and skill-based outcomes.

Saudi curricula ✅
Qatari curricula ✅
Egyptian curricula ✅