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Ce professeur a un délai et un taux de réponse très élevé, démontrant un service de qualité et sa fidélité envers ses élèves.
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Depuis octobre 2020
Professeur depuis octobre 2020
Computer programming lessons - up to the university level | 3 diplomas
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Àpd 473.47 CNY /h
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Do you need help in computer programming?

I'm a qualified teacher specializing in math, science, econometrics, and programming. I hold 3 university diplomas.
Bachelor of Science in Finance (from a top 50 university in the world)
Bachelor of Science in Econometrics and Operations Research (from the University of Groningen)
Master of Science in Quantitative Finance (from a top 10 university in the world, ETH Zürich (Swiss Federal Institute of Technology in Zurich), on par with the University of Cambridge or University of Oxford)

I offer help with your homework, and exam preparation in math, econometrics, and finance. Not only do I explain to you how to solve the problems in simple words, but also tell you the general way to solve problems of a kind. Therefore you'll be able to solve similar problems independently next time.

Audience: Students in primary school, high school, and university (bachelor/master's level), all ages are welcome.

Schedule: Flexible, upon agreement. Example: (1) Regular courses: courses on a regular basis as an auxiliary tool to catch up with the lectures in the school, or university; (2) Intensive courses: intensive courses with a long time aiming to prepare for the exam.

Please let me know if I can help :D
Lieu
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En ligne depuis Pays-Bas
Présentation
Hello,

I'm a qualified private tutor specialized in math, science, econometrics, and finance. I obtained my bachelor's diploma from the University of Groningen and pursued my master's degree in Zurich, Switzerland. I recently relocated from Zurich to Rotterdam and work as a Quantitative Analyst (kennismigrant) in financial industry in Amsterdam.

I offer diverse courses - math, science, econometrics, finance, mandarin language during my leisure time next to my regular work. Not only do I tell you how to solve a specific problem in simple language, but also tell you the general approach to solve problems of a kind. So you'll be able to solve similar problems independently next time.

Feel free to contact me should you have any questions. I'm here to help :D
Education
ETH Zurich (Swiss Federal Institute of Technology in Zurich, 6th best in the world, 1st best in continental Europe), Master of Science in Quantitative Finance, Zurich, Switzerland

University of Groningen, Bachelor of Science in Econometrics and Operations Research, Groningen, The Netherlands

Fudan University, Bachelor of Science in Finance, Shanghai, China
Expérience / Qualifications
Quantitative Analyst, 2022 - present, Amsterdam, The Netherlands
Energy Trader, 2020 - 2022, Rotterdam, The Netherlands
Graduated from the Mathematics Department of ETH Zurich (6th best in the world, 1st best in continental Europe)
GRE: Quantitative Reasoning (169/170)
University of Groningen, teaching assistant
Private tutor
Age
Enfants (4-6 ans)
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
120 minutes
Enseigné en
anglais
chinois
Commentaires
Disponibilité semaine type
(GMT -04:00)
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
Do you need help in mathematics, statistics, probability theory, or econometrics?

I'm a qualified teacher specializing in math, science, econometrics, and programming. I hold 3 university diplomas.
Bachelor of Science in Finance (from a top 50 university in the world)
Bachelor of Science in Econometrics and Operations Research (from the University of Groningen)
Master of Science in Quantitative Finance (from a top 10 university in the world, ETH Zürich (Swiss Federal Institute of Technology in Zurich), on par with the University of Cambridge or University of Oxford)

I offer help with your homework, and exam preparation in math, econometrics, and finance. Not only do I explain to you how to solve the problems in simple words, but also tell you the general way to solve problems of a kind. Therefore you'll be able to solve similar problems independently next time.

Audience: Students in primary school, high school, and university (bachelor/master's level), all ages are welcome.

Schedule: Flexible, upon agreement. Example: (1) Regular courses: courses on a regular basis as an auxiliary tool to catch up with the lectures in the school, or university; (2) Intensive courses: intensive courses with a long time aiming to prepare for the exam.

Examples of the scope of the courses I offer (not exhaustive):

Mathematics: Algebra, Arithmetic, Calculus, Probability Theory, Geometry, Trigonometry, Series and Sequences, Linear Programming, Statistics, Stochastic Processes, Stochastic Calculus, Derivative, Ordinary Differential Equations (ODEs), Partial Differential Equations (PDEs), Covariance and Correlation Matrix, etc.

Econometrics: Time Series Analysis, Econometrics, Statistical Inference, etc. (any course in your Econometrics degree study)

Please let me know if I can help :D
Lire la suite
Do you need help in quantitative finance?

I'm a qualified teacher specializing in math, science, econometrics, and programming. I hold 3 university diplomas.
Bachelor of Science in Finance (from a top 50 university in the world)
Bachelor of Science in Econometrics and Operations Research (from the University of Groningen)
Master of Science in Quantitative Finance (from a top 10 university in the world, ETH Zürich (Swiss Federal Institute of Technology in Zurich), on par with the University of Cambridge or University of Oxford)

I offer help with your homework, and exam preparation in math, econometrics, and finance. Not only do I explain to you how to solve the problems in simple words, but also tell you the general way to solve problems of a kind. Therefore you'll be able to solve similar problems independently next time.

Audience: Students in primary school, high school, and university (bachelor/master's level), all ages are welcome.

Schedule: Flexible, upon agreement. Example: (1) Regular courses: courses on a regular basis as an auxiliary tool to catch up with the lectures in the school, or university; (2) Intensive courses: intensive courses with a long time aiming to prepare for the exam.

(Quantitative) Finance: Asset Management, Quantitative Risk Management, Mathematical Foundations for Finance, Financial Derivative Pricing, Financial Engineering, Microeconomics of Insurance, Counterparty Credit Risk Management, etc.

Please let me know if I can help :D
Lire la suite
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If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
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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 ?
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Comprendre et manipuler les données (exploration, nettoyage, visualisation)

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- Nettoyage (valeurs manquantes, doublons, outliers)

- Encodage des variables catégorielles

- Normalisation et transformation

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- Graphiques de distribution, de corrélation, de tendance

- Tableaux croisés, heatmaps, boxplots

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- Régression linéaire/logistique

- Arbre de décision, Random forest, KNN, SVM

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- ou R (selon la préférence)

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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.

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One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
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Learn data analysis.
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🎯 Training Objectives

Upon completion of this training, you will be able to:

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Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
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Understanding the concept, objectives and benefits of OOP.
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Why unstructured code quickly becomes unmanageable.
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Properties, methods and representation of the real world.
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Understanding the execution context (often poorly understood).
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8. The prototype
Sharing methods and memory optimization.
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11. Data Encapsulation
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12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
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Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
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Contacter Yinhao
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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Hello,

You want to learn the basics of computers or how to use software such as Word, Excel or Powerpoint.

I will give you the skills you need to better understand the features of this software to write, for example, a document.

I will also give you advice on how to make the most of the internet, protect and back up your data, or on the day-to-day use of your computer.

Contact me.
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Excel is a spreadsheet software from the Microsoft Office suite developed and distributed by the publisher Microsoft. It is used to create spreadsheets, tables, graphs, etc.

Powerpoint is a presentation software developed by Microsoft. It is part of the Microsoft Office suite. It is used to create presentations, slide shows...

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Je suis un jeune professionnel dynamique et pédagogue, installé en Suisse. Titulaire d’un Master en mathématiques et informatique appliquées aux sciences humaines et sociales, avec une solide expérience en analyse de données, je prépare également un Master dans l'intelligence artificielle avec la prestigieuse école des Mines Paris – PSL. Passionné par la transmission des connaissances, je propose des cours particuliers personnalisés, adaptés au niveau et aux objectifs de chaque élève.

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Les sciences : Mathématiques, Physique, Chimie, SVT : Explication des concepts, aide aux devoirs, préparation aux examens.

Analyse de données & Informatique : Initiation ou perfectionnement en Excel, Python, SQL, Power BI (idéal pour étudiants ou professionnels souhaitant améliorer leurs compétences en data)

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- Cours adaptés aux besoins de chaque élève
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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

4. Statistique descriptive et inférentielle

- 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

6. Segmentation et classification non supervisée

- 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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Data science, statistics & mathematics – clearly explained, personally supported.
My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work.

With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level.

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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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
Garantie Le-Bon-Prof
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