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Depuis février 2024
Professeur depuis février 2024
Computer programming and Web development from beginner to advanced
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Àpd 49.15 $ /h
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These are the course lists:

* Python for beginners
* Python for seniors

* Java for beginners
* Java for seniors

* C# for beginners

* Basics of Javascript and Node.js
* Full stack Web Development (Vue.js & Django)
* Front-End Development (Vue.js)
* Back-End Development (Django)
* Dev-Ops
* Docker

II will convey my experience of working in these topics, so you can find out about what is the working future of your course.
Lieu
location type icon
En ligne depuis Royaume-Uni
Présentation
I'm Nima,
an experienced software engineer. I've got a passion for technology and an eye for detail. Over the years, I've delivered innovative solutions and efficient code, working with various programming languages and development methodologies. I'm all about staying updated with the latest industry trends and producing top-notch code. I take pride in my work ethic and knack for solving complex problems, making me a reliable and skilled professional in the software engineering field.
Education
Master's Degree Computing, Edinburgh Napier University, 2023 - 2024
Bachelor's Degree Computer Science and Engineering, Shiraz University, 2017 - 2022, GPA: 3.32/4
Expérience / Qualifications
Lead Software Engineer at Derak Cloud for +2 years:
– Implemented responsive and optimized web components and UI/UX designs for cloud services such as CDN, Load Balancer, IaaS with Vue.js and Vuetify
– Data integration with MongoDB and real-time streaming with redis database
– Designed and developed micro-services and implemented proper REST APIs to promote scalability and modularity
– Developed the core of functionality in API Gateway and other components with NodeJs framework
– Automated testing procedures for main applications to ensure quality and reduce time-to-market using GitLab
CI/CD and Docker
– Managing the technical team and code reviews using git with Gitflow policy
– Led and mentored the development team, ensuring alignment with the company’s strategic goals
Age
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
120 minutes
Enseigné en
anglais
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
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Contacter Nima
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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Rejoignez ce cours dès maintenant et lancez-vous dans l'apprentissage de Python ! Ne perdez plus de temps pour découvrir le plaisir de la programmation. Vous serez étonné de constater à quel point c'est simple et gratifiant. Alors, êtes-vous prêt à relever le défi ? Inscrivez-vous aujourd'hui et commencez votre aventure avec Python !
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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

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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)

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

- Ou projet personnalisé à vos propres données

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

- ou R (selon la préférence)

- Excel, Power BI/Tableau (pour la visualisation avancée)
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This course is aimed at anyone who is a beginner, curious about digital technology, or who wishes to develop skills useful in many professional sectors.
verified badge
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Lessons focus on logic, basic programming, and practical exercises.
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With a background in AI and Software Engineering, I combine strong theoretical knowledge with real-world applications. I can help you understand complex concepts in a simple and intuitive way.

Subjects I teach:

Mathematics: from school-level to university basics (algebra, calculus, problem-solving)
Programming: Python, C, C++, and Java (from fundamentals to practical projects)
Languages: English, French, German and Arabic (speaking, writing, and comprehension)

My teaching approach focuses on:

Clear explanations and step-by-step guidance
Practical exercises and real examples
Adapting to your pace and learning style

I am patient, flexible, and committed to helping you build confidence and achieve your goals—whether it's passing exams, improving skills, or starting something new.
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- Automate reports using tools like Quarto
- Structure research workflows that stand out for scholarships and publications

The teaching approach is hands-on and project-based. You won’t just learn theory—you’ll work on real datasets and build a portfolio you can use immediately.

Whether you're preparing for postgraduate studies, working on a thesis, or transitioning into data science, this class will give you a strong, practical foundation.
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I offer courses in various programming languages, as well as practical and tutorial sessions at home, with ongoing support throughout the course. I also offer tutoring in mathematics, chemistry, or physics, depending on your needs, at a reasonable price.
The goal is to acquire the basics of computer science for beginners or to improve the knowledge of learners.
Garantie Le-Bon-Prof
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