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Private teachers in Jeddah

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174 private teachers in Jeddah

Abdou

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£31

60-min

/h

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Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

📊 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.

Ahmed

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5.0

1 reviews

(1)

£26

60-min

/h

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Calculus 1 & 2 for preparatory and university studentsTranslate this text using Google Translate.

Calculus 1 & 2 for preparatory and university studentsTranslate this text using Google Translate.

This course is intended for preparatory year university students and all majors that rely on the study of differential and integral calculus (Calculus 1 & 2), such as: engineering in all its branches, natural sciences, computer science, economics, and management, in addition to any field that requires a strong foundation in mathematics. In this course, we will go through a step-by-step explanation of the concepts of differentiation and integration, starting with limits, derivatives, and their rules, then moving on to practical applications of differentiation, such as maximum rates of change and solving physical and engineering problems. Finally, we will discuss definite and indefinite integration and its various methods of calculation, with practical applications for areas, volumes, and solving equations. The lessons are designed in a simple and streamlined style that helps students understand complex concepts easily, with a focus on practical training through solving exercises and questions similar to those found on university exams. Detailed explanations of common mistakes and practical tips are also provided for confidently passing Calculus and achieving outstanding results. This course is not limited to simply solving problems, but rather aims to build a solid mathematical foundation that will enable the student to pursue his other university courses more easily.

Dr.Omar

£12

60-min

/h

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Medicine & Surgery, Molecular medicine, biology, Molecular biology, physiology, biochemistry. Medical sciences.Translate this text using Google Translate.

Medicine & Surgery, Molecular medicine, biology, Molecular biology, physiology, biochemistry. Medical sciences.Translate this text using Google Translate.

I am a physician with strong academic and clinical expertise in **general medicine, surgery, emergency medicine**, and medical examination preparation. I am also a **holder of Molecular Medicine**, with advanced academic strength in foundational biomedical sciences, including **biology, molecular biology, biochemistry, enzymology, physiology, and genetics**. This background allows me to teach medicine from a deep mechanistic perspective, linking molecular pathways directly to clinical presentation, diagnosis, and management. My teaching focuses on transforming complex medical topics into structured, high-yield frameworks that students can confidently apply during clinical rotations and licensing examinations. My approach is systematic, analytical, and evidence-based. I emphasize: * Understanding disease from the molecular and cellular level upward * Integration of biochemistry, physiology, and genetics into clinical reasoning * Stepwise construction of differential diagnoses * Precise interpretation of laboratory and imaging findings * Evidence-based management strategies aligned with international standards * Recognition of high-yield patterns frequently tested in licensing examinations I am particularly experienced in teaching integrated clinical medicine alongside foundational sciences, ensuring that students do not memorize isolated facts but instead develop structured medical thinking. Students working with me will gain: * Strong clinical reasoning and analytical skills * Deep conceptual mastery of molecular and physiological mechanisms * Confidence in approaching complex case-based questions * Efficient examination strategies and time management skills * A structured framework for rapid revision and long-term retention I maintain high academic standards and expect discipline, intellectual engagement, and commitment from my students. My goal is not only to help you succeed in examinations, but to elevate your level of scientific understanding and clinical competence. If you are serious about mastering medicine from its molecular foundations to its clinical applications, I will provide structured, rigorous, and high-level teaching to support your success.

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