Intro to Programming and Computational Thinking with Python

Àpd 58.6 $ /h

Want to learn how to tell the computer to solve scientific problems, homeworks, create a basic AI (artificial intelligence), simplify your life by quickly processing thousands of files (text, web, Excel etc.), cook belgian fries, create your own game, prepare for a potential IT career or simply learn a different way of logical thinking ("algorithmic")? Then we are on the same page!

This class does not have a predefined goal. You set the goal. Don't know it yet? No problem, I'm here to help. :) We can arrange a lesson, goal-setting, Q&A virtual meeting.

The programming language of choice for this class is Python.

Informations supplémentaires

Class requirements: own computer with a browser and an internet connection.

Lieu

En ligne depuis Belgique

Présentation

I enjoy teaching people and I take it as a personal challenge to find the most simple, visual and real-life analogies to explain abstract concepts. I approach classes as a training partner rather than an authoritarian all-knowing figure. :D

Education

- Bachelor's in Automatic Control and Applied Informatics;
- Master's in Systems and Control;
- Black Belt (1 Dan) Kaisendo, 4 Kyu Judo, 1-stripe White Belt BJJ;
- Master's in Robotics and Artificial Intelligence.

Expérience / Qualifications

I have industry experience as Computer Vision and Artificial Intelligence Engineer using Python and C++. My teaching experience is rather informal:
- I designed and supervised industry internships;
- I held computer science tutorials during weekends for my fellow students that struggled with university level programming;
- I had 1:1 classes with secondary school children that wanted to learn competitive programming;
- I held martial arts classes for teenagers.

Age

Enfants (7-12 ans)

Adolescents (13-17 ans)

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Débutant

Intermédiaire

Durée

60 minutes

Enseigné en

anglais

roumain

Compétences

Programmation informatique

Logique

Python

Commentaires

Disponibilité semaine type

(GMT -05:00)

New York

Cours par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Intro to Artificial Intelligence with Hands-On Examples

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Artificial Intelligence is the branch of computer science that studies the autonomy of software systems by enabling adaptive behavior without direct programming.

A.I. is popular nowadays due to the recent outstanding progress of Large Language Models (chatbots like ChatGPT), but that is only the tip of the field.

Let’s dive together and explore the base of the iceberg that is A.I.: machine learning, deep learning, computer vision, natural language processing, search and optimization.

Focus on hands-on and intuitive practical application guaranteed regardless of age or background!

Intro to Robotics (Control, Dynamics, Perception, Reasoning)

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Do you also have a school/university subject related to this that you have difficulties grasping? You know nothing about robots or just watched a movie and you find them cool? Then let's talk!

We can have a lesson, Q&A, assessment where we decide together how we can feed your curiosity.

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Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

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As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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In the training program, you will learn to:

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- Develop pages using the right methods in HTML, CSS, Javascript & PHP
- Administer and manage a site database
- Contribute to the good natural referencing (SEO) of your site
- Use WP-Cli to speed up the maintenance of your sites
- Use Docker to containerize your local/prod projects and facilitate their management
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For any questions, you can contact me by PM.

See you soon,
Matthew

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Additionally, upon request, we offer courses in other programming languages such as C, JAVA, R, and MATLAB.

Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs.

If you have any questions, feel free to contact us.

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What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

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Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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As a Geophysics PhD student, I rely heavily on programming tools like Matlab, Python, and R for data analysis, mathematical modeling, plot results and much more.

After a lot of requests from students I created this course which is specifically meant to give you support completing your final programming projects.

Here's what you can expect:

- We'll review your project's background and requirements.
- Analyze your coding progress and identify areas for improvement.
- Collaborate to overcome obstacles, debug your code and advance your project.
- Tailored sessions based on your project's complexity and your skill level.

Whether you require a single session or a series of in-depth consultations, my goal remains the same: to help you break through programming barriers and achieve your goals.

Ready to level up your programming skills? Let's get started!

Please note:
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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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👉 Contact me now to:

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📘 Mathematics – Secondary Level
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📍 Lessons at home or remotely (video conference)
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📞 Available for customized support.

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🌐 Networking – Understand how the internet works from the ground up. Routers, protocols, IPs – we’ll demystify them all.

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The course may include:

Python Basics: Variables, Loops, Conditions, Functions

Algorithms and Problem Solving with Python

Practical projects to apply your knowledge

Tips and methodology for effective progress

The course is personalized according to your objectives, to allow you to develop concrete and directly usable skills in IT.