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

Von 28.79 Fr /Std

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.

Zusätzliche Informationen

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.

Ort

Online aus Vereinigtes Königreich

Über mich

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.

Bildung

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

Erfahrung / Qualifikationen

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

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

Alter

Kinder (7-12 Jahre alt)

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

60 Minuten