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Professeur fiable
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 mai 2019
Professeur depuis mai 2019
Learn Data Science with Python and Machine learning
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Àpd 96.61 C$ /h
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I specialize in teaching Hands on Machine learning with Python. I can teach with real case studies and in layman's language.

This class is for the candidates aspiring to learn data science or having problem with their projects or any other work.
Informations supplémentaires
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Lieu
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En ligne depuis Pays-Bas
Présentation
I have been teaching analytics and data science for last 10 years with expertise in Machine learning and Deep Learning. The teaching is in layman's term so anyone can understand. Experience in open source tool like python.
Education
Masters in Statistics and Data Science (Machine learning and Deep Learning).
Experience in Statistical software and open source like (Python , R , SPSS , SAS etc)
Expérience / Qualifications
16 years of Industry and 10 years of teaching experience. Hands on experience in python, R and Machine learning and deep learning
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
Enseigné en
anglais
Compétences
Commentaires
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
Hi I am an experienced trainer and professional with experience in teaching statistics, analytics , data science and machine learning . This will cover from basics to advance. I am skilled in teaching in layman language . Using R and Python
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I specialize in teaching statistics, Python, Data science. This class is for Phd (final year) thesis writing with analysis, Data science aspirants.
All the courses will be taught in layman's language. The course will be easy for even college student.
Lire la suite
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Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

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👨‍🏫 À propos du formateur :
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- ou R (selon la préférence)

- Excel, Power BI/Tableau (pour la visualisation avancée)
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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With 14 years of experience teaching mathematics in middle and high school, I offer you tailor-made support to help you progress in math. Whether you want to fill in your gaps, prepare for an exam (brevet, baccalaureate) or simply deepen your knowledge, I am here for you. My private lessons, given online or at home, are adapted to your pace and your specific needs. I guarantee you a clear and effective pedagogy, as well as personalized follow-up to help you succeed. Specializing in 3rd, Brevet and Terminale levels, I help you acquire the methods and tools necessary to master mathematics and enjoy learning them.
My goal is to help you improve your math skills quickly and prepare effectively for the bac/brevet. I am also attentive to students experiencing academic difficulties and I can offer you personalized support to overcome your difficulties.
I am considered one of the best online math tutors. I also offer math support for French mission students and math help for international students wishing to follow the French curriculum.
I offer a full range of services in mathematics:

Private lessons: at home or online
Personalized academic support: for all levels and all programs
Preparation for exams: brevet, baccalaureate, competitive examinations
Homework help: for regular monitoring
Intensive courses: for rapid progress
Specific support: for students in difficulty, students on French missions, international students
Thanks to my personalized math lessons, you will be able to:

Understand the concepts in a clear and simple way
Solve the exercises with ease
Gaining self-confidence
Pass your exams with flying colors
I am here to help you discover the fun of mathematics and reveal your potential.

Feel free to contact me for more information.
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Je suis un professeur particulier qualifié et passionné de mathématiques, diplômé de l'Université Cheikh Anta Diop de Dakar (UCAD). Mon parcours académique m'a amené à étudier les mathématiques, la physique et l'informatique lors de mes deux premières années d'université, avant de me spécialiser avec une licence et un master en biomathématiques. Ces formations m'ont permis d'approfondir mes compétences en sciences appliquées et de développer une expertise pointue dans l'analyse de concepts complexes.
Depuis plus de dix ans, j'accompagne des élèves en tutorat, une expérience qui a débuté au sein de mon cercle familial et qui s'est enrichie au fil du temps grâce à une formation pédagogique adaptée aux environnements numériques. Aujourd'hui, j'offre des cours en ligne entièrement personnalisés, débutant toujours par un bilan approfondi des compétences de chaque élève afin d'identifier précisément leurs points forts et leurs difficultés. Cette analyse me permet de concevoir un programme de remédiation sur mesure, ciblant efficacement leurs besoins spécifiques.
Je trouve une grande motivation à travailler avec des élèves désireux de réussir. Leur engagement et leur détermination à progresser stimulent mon implication et renforcent mon professionnalisme. En ligne, je m'assure de maintenir un environnement d'apprentissage sérieux et structuré, où l'accent est strictement mis sur l'aspect pédagogique.
Ma parfaite maîtrise des programmes de mathématiques, alliée à mon expertise en biomathématiques, me permet de simplifier des notions complexes et de rendre l'apprentissage des sciences accessible à tous. Mon objectif est d'aider chaque élève à consolider ses bases, à regagner confiance en lui et à devenir autonome dans ses études.
Je propose ainsi mes cours particuliers en ligne, offrant une flexibilité géographique et un suivi personnalisé pour accompagner chaque élève vers la réussite.
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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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Hello to Data & AI students (L3 Info/Stats, Master Data Science/AI, MIAGE, engineering schools, career change...)!
My name is Soufiane, I have a master's degree in Data Science & AI.
I offer 100% professional courses:
- Python Data & AI (Pandas, NumPy, Scikit-learn, TensorFlow/Keras)
- Advanced R (Tidyverse, Caret, Shiny)
- SQL & NoSQL (PostgreSQL, MongoDB, optimization)
- Power BI / Tableau (DAX, dashboards, storytelling)
- Advanced statistics (Bayesian, time series, A/B testing)
- Machine Learning (regressions, trees, clustering, XGBoost, evaluation)
- Deep Learning (CNN, RNN, Transformers, fine-tuning)
- NLP (tokenization, BERT, sentiment, chatbots)
- Big Data (Spark, Hadoop, ETL pipelines, AWS/GCP cloud)
- Complete projects (Kaggle, real-world datasets, GitHub, professional report) Levels: L3 Computer Science/Statistics/Economics
- Master Data Science, AI, MIAGE
- Engineering schools (Centrale, INSA, ENSIIE, EPITA...)
- AI retraining / bootcamps

Why me ?
- 100% interactive course: live coding, debugging, projects, datasets
- Professional supports: Jupyter notebooks, templates, ML/DL cheatsheets
- Flexible hours: evenings, weekends, intensive courses
- 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! See you soon to master Data & AI!
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Je suis maître de conférences habilité à l’École Nationale des Sciences Appliquées (ENSA), titulaire d’un doctorat en mathématiques , avec plus de 15 ans d’expérience dans l’enseignement à différents niveaux : collège, lycée et enseignement supérieur.
Je propose des cours de soutien en mathématiques pour tous les niveaux: collège, lycée et études supérieures (Algèbre, Analyse, Analyse de données, Probabilités et Statistiques, Mathématiques financières...) Méthode claire et progressive adaptée au rythme de chaque élève Révision des bases, préparation aux examens et concours possibilité de cours à domicile ou en ligne selon votre préférence.
Lieu : Agadir.
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Transforming raw data into useful information for decision-making. Ability to collect, clean and structure data from various sources, and to analyze it using statistical tools and the R language. Designing clear and relevant visualizations (dashboards, graphs, performance indicators).
Proficiency in interpreting results, univariate and multivariate statistical analyses, regression models and clustering techniques, as well as in formulating operational recommendations.

Ability to communicate analyses to non-technical audiences, capacity to support organizations in implementing data-driven strategies, optimizing processes, defining key performance indicators, and teaching the basics of data analysis.
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Ce cours d’économétrie est conçu pour permettre aux étudiants, chercheurs et professionnels de comprendre comment analyser des données économiques et sociales à l’aide de modèles statistiques rigoureux.

L’objectif est de vous apprendre à transformer des données brutes en informations utiles pour la prise de décision, la recherche académique et l’analyse économique. Le cours combine théorie, intuition économique et applications pratiques.

À travers ce cours, vous apprendrez notamment à comprendre la structure des données, à modéliser des relations entre variables, à interpréter correctement les résultats de régressions et à éviter les erreurs courantes d’analyse.

Le cours est structuré autour des notions fondamentales de l’économétrie moderne :

Les différents types de données (coupes transversales, séries temporelles, données de panel)

La transformation des variables à l’aide des logarithmes et l’analyse de la non-linéarité

La régression linéaire simple et son interprétation économique

Le problème des variables omises et ses conséquences

La signification statistique et l’interprétation des p-values

À la fin du cours, vous serez capable de lire, comprendre et produire des analyses économétriques fiables pour des projets académiques, des mémoires ou des études économiques.
Garantie Le-Bon-Prof
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