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Depuis décembre 2025
Professeur depuis décembre 2025
Unity Game Development for Beginners! Learn C# and Unity.
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Àpd 209.21 CNY /h
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Stop just playing games and start building them! This course is a hands-on introduction to game development using Unity, the industry-standard engine behind hits like Among Us, Pokémon GO, and Hollow Knight.

Over the course of this class, you will learn the fundamentals of game design and programming. We will move from navigating the Unity interface to writing actual C# code to bring characters to life. By the end of the course, every student will have built a fully functional 2D or 3D game to share with friends.

What You Will Learn:

The Unity Engine: Mastering the interface, Scene view, and Game view.

C# Programming: The basics of coding logic (variables, loops, and functions) specifically for games.

Physics & Collisions: How to make things jump, fall, crash, and bounce.

Level Design: Building immersive worlds using tilemaps and 3D terrain.

UI & Polish: Adding scoreboards, health bars, sound effects, and menus.

Prerequisites: No prior game development experience is required. Basic computer literacy is necessary.
Informations supplémentaires
A laptop (PC or Mac) capable of running Unity Hub and Visual Studio.
Lieu
location type icon
En ligne depuis Espagne
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
60 minutes
90 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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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).

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Automatic (continuous, sampled)
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renewable energy (wind, PV)
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Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

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Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues)
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❌ "My app works locally but crashes in production"
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Live Debugging Session: We fix it together via screen share
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Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

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The fundamental concepts of programming
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Vous avez des données mais ne savez pas comment les exploiter ? Vous souhaitez prendre des décisions basées sur des faits concrets ? Ou vous êtes étudiant·e et voulez maîtriser les outils de l'analyse moderne ?
Ce cours est fait pour vous.

👨‍🏫 À propos du formateur :
Je suis Data Scientist et Ingénieur en Mathématiques Appliquées, diplômé de l’Université Cheikh Anta Diop (UCAD). Mon expertise repose sur une solide base en Mathématiques, Statistiques, Machine Learning et Visualisation de données. J’allie rigueur scientifique et outils modernes pour transformer des données brutes en décisions stratégiques.

🧠 Objectifs du cours :
Comprendre et manipuler les données (exploration, nettoyage, visualisation)

- Identifier les variables importantes et repérer les anomalies

- Appliquer les méthodes statistiques et Machine Learning pour extraire de la valeur

- Construire des tableaux de bord clairs et parlants pour la prise de décision

- Adapter les analyses aux besoins réels d’une entreprise ou d’un projet académique

🧰 Contenu détaillé :
1. Introduction à l’analyse de données

- Qu’est-ce que l’analyse de données ?

- Typologie des données (quantitatives, qualitatives)

- Méthodologie globale

2. Préparation des données

- Nettoyage (valeurs manquantes, doublons, outliers)

- Encodage des variables catégorielles

- Normalisation et transformation

3. Visualisation et exploration

- Graphiques de distribution, de corrélation, de tendance

- Tableaux croisés, heatmaps, boxplots

- Détection de patterns et d’anomalies

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- Moyenne, Médiane, Ecart-type, Corrélation

- Tests statistiques : Khi2, t de Student, ANOVA

5. Modélisation prédictive (ML supervisé)

- Régression linéaire/logistique

- Arbre de décision, Random forest, KNN, SVM

- Évaluation : accuracy, recall, precision, F1-score, AUC

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- Clustering (K-means, DBSCAN, hiérarchique)

- Réduction de dimension (ACP/PCA)

7. Projets réels (au choix)

- Analyse des ventes / Churn client / Scoring de crédit / Santé publique

- Ou projet personnalisé à vos propres données

💻 Outils utilisés :

- Python (Pandas, Matplotlib, Scikit-learn, Seaborn)

- ou R (selon la préférence)

- Excel, Power BI/Tableau (pour la visualisation avancée)
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Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

-What you can expect from me:
One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
If you're ready to get to grips with data, I'm ready to guide you.
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This course is designed for complete beginners who want to learn Excel VBA programming from the ground up. Whether you're a student, professional, or freelancer, you’ll learn how to automate tasks, create intelligent macros, design simple forms, and manage data efficiently within Excel.

🔧 What You Will Learn:

The basics of programming: variables, loops, conditions, and procedures.

How to record and edit simple macros.

Automating tasks across cells, worksheets, workbooks, and named ranges.

Creating interactive forms (UserForms) for data entry and display.

Automating repetitive tasks like formatting, reporting, and even sending emails.

Exploring advanced tools: events, error handling, and integration with other applications.

🎯 Who Is This Course For?

Students, employees, or freelancers who work with Excel and want to save time.

Professionals looking to build custom tools tailored to their workflow.

No previous coding experience is required!

🛠️ Course Methodology:

Step-by-step, hands-on learning.

Clear explanations with real-life examples.

Tips on writing clean, understandable, and reusable code.
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Hello high school students! My name is Soufiane, Master's in Data Science & AI.

I offer 100% NSI (Digital Science and Technology) courses:
- Python (variables, functions, lists, dictionaries, OOP)
- Algorithms (sorting, searching, complexity, divide & conquer)
- Recursion (recursive functions, stacks, trees)
- Databases (SQL, relational models, queries)
- Architecture (systems, networks, protocols)
- Web (HTML/CSS/JS, Flask, client-server)
- Baccalaureate projects (subject 0, assessed mini-projects, clean code)
- Past papers & practice exams (2024/2025 step-by-step solutions) Objective: BAC NSI > 16/20 (written exam + project)
- Enhanced Parcoursup (specializations, engineering schools)
- Complete mastery of the program

Why me ?
100% interactive course: live coding, debugging...
Professional supports: algo sheets, Python/SQL templates, PDF reports
Flexible hours: evenings, weekends, holiday internships
At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
Invoices issued

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly before the start of term! See you soon to ace your NSI exams!
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My name is Dina, I am an engineer with a degree from INSAT and I am passionate about software development and embedded systems.

🎓 My experience:
- Computer and Embedded Systems Engineer
- Experience at the German Space Agency, where I worked on cutting-edge projects in embedded software and advanced technologies.
- Several projects in C, C++, Linux, IoT and industrial environments

💡 What I propose:
- Personalized C and C++ courses, tailored to your level:

- Programming basics
- Pointers, memory, structures, files
- Object-oriented programming (C++)
- Practical exercises & mini-projects
- Understanding embedded systems for those who want to go further

🔥 Why learn with me?

- Clear and progressive teaching methods
- Practical experience in industry and aerospace
- Complete adaptation to your pace
- We can support you in your academic or professional projects

📩 Interested? Contact me to book your first lesson!
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
Garantie Le-Bon-Prof
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Contacter Chris