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Depuis mars 2023
Professeur depuis mars 2023
Web Design and Data Analytics: Building Effective and Responsive Websites and Understanding and Analyzing Complex Data Sets
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Àpd 35.99 $ /h
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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.
Informations supplémentaires
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.
Lieu
location type icon
En ligne depuis Royaume-Uni
Présentation
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
Expérience / Qualifications
Data Analyst Instructor 08/2022 - current
Code First Girls( London)

Science Instructor 03/2021 - Current
Realcare Tech Mark(Leicester)
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
60 minutes
Enseigné en
anglais
Disponibilité semaine type
(GMT -05:00)
New York
at teacher icon
Cours par webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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السلام عليكم ورحمة الله وبركاته،
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📂 Fichiers et Entrées/Sorties : Lecture et écriture de fichiers.
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🤖 Intelligence Artificielle et Machine Learning : Initiez-vous à Scikit-learn pour élaborer des modèles de prédiction.
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Enseignement interactif en ligne : Utilisation de l'audio et du partage d'écran pour assurer une communication fluide et un apprentissage dynamique.
Suivi personnalisé : Un accompagnement régulier pour évaluer votre progression et répondre à toutes vos questions.
Projets concrets : Élaboration de projets complets pour appliquer vos compétences en programmation.
Motivation et confiance : Une approche positive et encourageante pour renforcer votre confiance en vos capacités.

🎓 Pour qui ?
Ce cours est destiné à :

- Des débutants complets qui n'ont jamais touché à la programmation.
- Des étudiants en informatique ou en sciences désireux d'apprendre Python pour leurs études.
- Des professionnels souhaitant acquérir des compétences en programmation pour faire avancer leur carrière.
- Des autodidactes passionnés de programmation qui veulent réaliser leurs propres projets.
- Des candidats aux certifications en Python à la recherche d'un entraînement intensif.

🔔 Inscrivez-vous dès maintenant ! Ne ratez pas l'occasion de maîtriser Python et d'acquérir des compétences en programmation très prisées sur le marché du travail. Participez à "🐍 Maîtrisez Python – 🚀 Cours Particuliers Personnalisés pour Devenir un Pro du Code !" et avancez à votre rythme avec assurance et motivation !
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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.
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Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.
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This course is aimed at students wishing to strengthen their skills in mathematics, computer science and engineering sciences, three complementary disciplines for developing logic, rigor and analytical skills.

The objective is to support each student according to their level and needs:

🔹 In mathematics: understand concepts, solve various exercises and prepare effectively for exams.

🔹 In IT: learn programming (Python, Scratch, C++...), algorithmic logic and the use of digital tools.

🔹 In engineering sciences: discover the principles of modeling, mechanics, and electronics.

Each session is structured to make the student independent, confident and motivated, thanks to clear teaching methods adapted to their pace.
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Are you ready to finally master Python in a simple, practical and time-saving way?
In this class, you will learn Python from zero even if you have no coding experience, and grow step by step until you are able to build real projects with confidence.

🔥 Why this course is different:

✅ No boring theory - you learn by doing
✅ Clear explanations + simple examples
✅ Exercises every session to practice
✅ Real-world mini projects to build your portfolio
✅ Friendly support + step-by-step learning path
✅ How to integrate AI to work smarter and faster

✅ Who is this class for?

✔️ Total beginners
✔️ Students or professionals switching to tech
✔️ Data & AI beginners
✔️ Anyone who wants real practical skills fast

✅ Teaching style:

✅ Simple, friendly, and interactive
✅ 100% personalized learning path
✅ Live exercises + homework + feedback
✅ Learn at your rhythm
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pour chacun des domaines: cours, td et tp (de difficulté croissante)

Principaux langages informatiques:
C, C++, Python, Java

Réseaux informatiques:
Serveur Windows, Serveur Linux
packet tracer pour simulation réseaux
GNS3 pour émulation switch, routeur, firewall, supervision, gestionnaire de parc
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Hello,

I offer personalized courses in:
- Excel (basics, advanced functions, pivot tables, automation...)
- VBA (macros, automation, file optimization)
- Python (basics, scripts, data, programming logic)

I graduated from Paris-Dauphine University with a Master's degree in Economic and Financial Engineering, and I adapt my lessons to your level and objectives:
- Complete handling
- Help with a specific project or file
- Understanding of key concepts
Courses can be taken in person or online.
Feel free to contact me to discuss your needs or schedule an initial meeting!
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This course is designed to equip developers with the fundamental SQL and PL/SQL skills necessary to effectively interact with, manipulate, and optimize data within an Oracle database. It is intended for beginners as well as developers wishing to formalize their Oracle knowledge.

Key Objectives
At the end of this course, participants will be able to:

Mastering SQL: Writing complex queries to query, insert, update, and delete data.

Understanding the Architecture: Grasp the basic concepts of Oracle architecture (instance, schemas, tablespaces) from a developer's perspective.

Programming with PL/SQL: Developing procedural blocks, handling exceptions, and using cursors for line-by-line processing.

Create Stored Objects (Schema): Design and implement procedures, functions, and packages to encapsulate business logic.

Automate Actions: Use triggers to automatically execute actions in response to database events (DML or DDL).
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السلام عليكم ورحمة الله وبركاته،
أنا طالب باحث في سلك الدكتوراه وأقدم دروس دعم وتقوية في مادة الرياضيات لجميع المستويات:

✔️ الإعدادي
✔️ الثانوي
✔️ الباكالوريا بجميع شعبها
✔️ التحضير للامتحانات والواجبات

أوفر شرحًا مبسطًا، تمارين تطبيقية، متابعة مستمرة، وتحسين مستوى التلميذ خطوة بخطوة.
Garantie Le-Bon-Prof
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