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For over a decade, our private Math tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Dubai ‑ United Arab Emirates, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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159 math teachers in Dubai ‑ United Arab Emirates

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159 math teachers in Dubai ‑ United Arab Emirates

Abdou - Dubai26€
26€Statistics, data visualization and machine learning for beginners – course in French
📊 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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مدرس - Sharjah44€
44€Private teacher in mathematics and physics for high school and university students
Trusted teacher: 📚 Private tutor for university and high school -📚 Need help understanding study material? Preparing for SATs or university exams? 🤔 ⚡My services include: ✔️ Private lessons for all secondary subjects ✔️ Comprehensive help in preparing for the AMSAT exams (Mathematics and Physics) ✔️ Full support for university students in scientific and technical subjects ✔️ Flexible learning, remotely or in person, as you wish 📕Description of physics 👌Physics 1 Physics 1 is a foundational physics course often taught in the first year of university or advanced secondary education. The course focuses on the basic principles of mechanics and electricity, and covers the following topics: 1. Physical Quantities and Units: Students learn how to measure, standardize units, and know the differences between vector and scalar quantities. 2. Motion: It deals with the study of motion in a straight line, circular motion, velocity, and acceleration. 3. Newtonian Laws of Motion**: Analyze the forces acting on objects using Newton's three laws. 4. Energy, Work, and Power: Explain the relationship between kinetic energy and potential energy and how to calculate mechanical work. 5. Law of Gravity: Study of Newton's law of universal gravitation and its effect on objects. 6. Work, Energy, and Energy Conservation: Covers the concepts of work and energy and how energy is transformed between its different forms. 📘 Physics Description 👌Physics 2: Physics 2 is a continuation and deepening of the concepts studied in Physics 1, but with a greater focus on the topics of electricity, magnetism and waves, and includes: 1. Static electricity: It deals with the study of electric charges, electric field, electric potential, and Coulomb's law. 2. Electric Current and Resistance: Understand electric current, electrical resistance, and Ohm's Law. 3. Magnetic fields: Study of the relationship between electricity and magnetism, the magnetic field produced by an electric current, and Faraday's law. 4. Electrical Circuits: Study of simple and complex electrical circuits such as DC and AC circuits. 5. Waves and Sound: The study of mechanical and acoustic waves, frequency, wavelength, and the speed of sound in different media. 6. Light and Optics: Study of the nature of light, reflection, refraction, and lenses. Physics 2 requires students to be able to deal with mathematical and analytical concepts to explain electrical, magnetic and optical phenomena. 📗Mathematics description 👌Mathematics 1 (secondary or university preparatory stage): 1. Algebra: Dealing with equations and algebraic sentences, analyzing equations of the first and second degree. 2. Limits and Continuity: Study the behavior of functions when the values of the variable approach a certain point, and learn about the concept of limit. 3. Differentiation: The study of time rates of change, the concept of the derivative, and how to apply it to solving problems. 4. Trigonometric functions: Study of trigonometric functions (sine, cosine, tangent) and their various applications. 5. Logarithms: Study of logarithms, their laws, and their use in solving equations. 👌Mathematics 2 (advanced levels): 1. Integration: The study of integrals, both definite and indefinite, and their use in calculating areas and volumes, and analyzing antiderivatives. 2. Matrices: Study of operations on matrices (addition, subtraction, multiplication), and the use of matrices in solving linear systems. 3. Differential Equations: Solving equations that relate functions and their derivatives, and their applications in physics and engineering. 4. Analytical geometry: dealing with geometric shapes from a mathematical perspective and analyzing dimensions, distances, and angles. 5. Probability and Statistics: Study of probability theories, calculation of expectations, probability distributions and data analysis using statistics. Advanced Mathematics (Undergraduate): 1. Linear Algebra: Study of vector spaces, linear transformations, eigenvalues and eigenvectors. 2. Multiple Calculus: Study of multivariable integrals and three-dimensional applications. 3. Mathematical Analysis: A more in-depth study of limits, continuity, and differentiation using advanced concepts. 4. Number theory: The study of the properties of integers and the mathematical structures associated with them. 5. Numerical Analysis: The study of numerical methods for solving mathematical equations using computers. 🎯 With extensive experience in teaching and preparing students for exams with guaranteed success! For communication and reservation: via Apprentus
Math · Physics · Chemistry
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