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4351 private teachers in Turkey

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4351 private teachers in Turkey

Lassana - Cairo18Fr
18FrPrivate science lessons — Method, rigor and practical application
A graduate engineer from the University of Technology of Compiègne (UTC), I offer personalized support in Mathematics, Physics-Chemistry, SVT, Technology, Computer Science and Engineering Sciences, from middle school to higher education. Drawing on my experience in R&D and design, I connect abstract concepts to their concrete applications in the world of engineering and technology. My approach is based on clear explanations, adapting to the student's pace, and gradually reinforcing the fundamentals. Course objectives Understand key concepts with simple, structured explanations Acquire effective working methods and scientific reasoning reflexes Strengthen problem-solving and scientific writing skills Gain confidence and autonomy in the face of assessments Typical course of support 1. Initial assessment to identify needs and gaps 2. Targeted revision or progressive in-depth program 3. Commented exercises, methods, tips, corrected past papers 4. Regular monitoring of progress with personalized feedback Terms and conditions Online courses (Zoom, Google Meet, etc.) or at home Flexible slots Support provided after each session (sheets, corrections, methodological reminders) For who ? Middle school students, high school students, students in scientific or technical fields, preparation for competitive exams (engineering schools, PACES, BUT, BTS, etc.) I put my engineering experience and my passion for teaching at the service of your academic objectives.
Math · Physics · Earth and life sciences
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Abdou - Jeddah31Fr
31FrStatistics, Data Visualization, and Machine Learning for Beginners
📊 Introduction to Data Science with Python Full Title: Statistics, Data Visualization, and Machine Learning for Beginners (100% online course – for students, professionals in retraining, or curious data enthusiasts) Data science is now at the heart of the most innovative professions and strategic decisions in all sectors. However, when you're just starting out, you can quickly feel overwhelmed by technical jargon, Python libraries, or statistical models. With this course, my goal is to make this exciting discipline understandable and accessible to everyone, even without advanced mathematical training or computer science background. I offer step-by-step support based on practical experience, concrete projects, and a supportive teaching approach. You'll learn how to manipulate data, extract information from it, and create your first machine learning models with ease. 🎯 Course objectives Discover the basic tools of Data Science with Python Understand and apply the fundamental concepts of exploratory statistics Know how to manipulate, clean, visualize and interpret real data sets Carry out initial predictive modeling (linear regression, classification) 📚 Course content ✔ Fundamental libraries in Data Science – pandas: reading, cleaning and transforming data – numpy: mathematical operations and array manipulation – matplotlib & seaborn: clear and aesthetic data visualization – Getting Started with Scikit-Learn for Machine Learning ✔ Data cleaning and analysis – CSV file import and data mining – Management of missing values and duplicates – Creation of variables, filtering, groupings – Visualization: histograms, curves, heatmaps, boxplots... ✔ Introduction to Machine Learning – Understand how linear and logistic regression work – First classification models (KNN, simple decision trees) – Data separation (training/test set), single cross-validation – Interpretation of results and improvement of the model 🧭 How the sessions work 1️⃣ Assessment of the student's objectives: discovery, professional project, preparation for training, etc. 2️⃣ Personalized progression plan, adapted to the starting level. 3️⃣ Alternation of visual theory and intensive practice on real data sets (health, sports, finance, etc.). 4️⃣ Practical mini-projects at each stage: analyzing survey results, predicting simple results, automating analyses. 5️⃣ Explanation of errors encountered, individualized educational monitoring. 6️⃣ Regular assessment, with reinforcement of key points as needed. 🌐 100% online courses – accessible teaching methods Classes via Zoom, Google Meet, or the tool of your choice Live screen sharing, work on interactive notebook (Jupyter or Google Colab) PDF supports + commented code provided after each session Possibility of intensive coaching for training or an interview Flexible hours, adapted to the time zone of the Gulf countries and your availability 👨‍🎓 For whom? Complete beginners in Data Science and Python Students wishing to enrich their profile with practical skills Professionals retraining for data professions Anyone curious about understanding the world through data! This course has been designed so that each participant can progress at their own pace, develop their analytical logic and discover the pleasure of "making the data speak". Feel free to contact me to discuss your goals and build a customized program together. I would be delighted to accompany you on this wonderful adventure that is data science.
Statistics · Math · Numerical analysis
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