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Private lessonsNumerical AnalysisOnline Numerical Analysis lessons

175 online numerical analysis teachers

175 online numerical analysis teachers

Abdou - Riyadh, Saudi Arabia213 CNY
213 CNYStatistics, 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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al Hassan - Rabat, Morocco337 CNY
337 CNYMathematics Support Course: Reinforcement of the Basics, In-depth Study, Complete Preparation for Oral Exams and Competitions
Mathematics Support Course: Strengthen Your Foundations, Master Essential Concepts and Prepare for Academic Excellence This program is specially designed to support you in your progress in mathematics, whether to strengthen your basic skills, deepen key concepts or excel in your university studies. It is also aimed at students preparing for the Bac Sciences Mathématiques competitions, preparatory classes (CPGE), as well as Bac+2 and Bac+3 levels. With an effective methodology and adapted teaching tools, this course aims to guarantee your success in this demanding and strategic discipline. Join us to maximize your performance and achieve your academic goals! My main objective is to support students in their progress in mathematics, allowing them to strengthen their skills, deepen their knowledge, master their courses, fill their gaps and aim for excellence. I am also able to guide them effectively in preparing for their exams and entrance exams to the grandes écoles, while providing them with appropriate support for their homework, in order to guarantee their success. As a passionate teacher, I am convinced of my ability to help each student, whatever their level, to overcome their difficulties and excel in this demanding discipline. Through interactive, stimulating and adapted teaching methods, I aim to motivate my students, to give them lasting tools to succeed not only in mathematics, but also in their overall educational journey. I am convinced that my dynamic and engaging teaching approach will allow my students to achieve their goals in mathematics while developing self-confidence that will accompany them throughout their lives, both academically and personally. This course is designed to transform your understanding of mathematics into a true academic strength. Whether you are looking to strengthen your foundation, delve deeper into advanced concepts, or prepare to excel in your academic studies, this program is for you. Why choose this course? A complete and structured program: from essential basics to advanced concepts, each step is designed to give you a solid mastery of mathematics. Personalized approach: explanations adapted to your level and your pace to maximize your progress. Solving complex problems: varied exercises, detailed answers, and targeted training to develop your analytical skills. Preparation for academic challenges: anticipation of the expectations of university programs and preparation for the most demanding exams. What you will learn: 1. Strengthening the fundamentals: Review of essential concepts (algebra, analysis, geometry) to fill in the gaps. In-depth review of algebra: equations, linear systems, polynomials. Analysis of functions: limits, continuity, derivatives, integrals. Introduction to vector and analytical geometry. Concepts of mathematical logic and rigorous reasoning. 2. Deepening of key concepts: Exploration of advanced concepts needed for university courses. 3. Practical skills: Development of an ability to solve complex problems and apply mathematics in real-world contexts. Study of numerical series and sequences. In-depth analysis of vector spaces, matrices and determinants. Solving first and second order differential equations. Fundamental theorems (Intermediate value theorem, bounds theorem, etc.). Advanced concepts in integral and differential calculus. 4. Preparation for exams: Methodological advice, typical exercises and targeted revisions to maximize your results. Quick solution methods for exams. Study of typical problems and frequently asked questions in university courses. Practical approach: intensive training on exercises and corrected exams. Strategies for success in advanced courses such as functional analysis, linear algebra, and PDEs 5. Development of Advanced Skills: Introduction to mathematical modeling and its usefulness in science and engineering. Using mathematical software (Python, MATLAB, etc.) to solve complex problems. Applications of mathematics in various fields: physics, economics, statistics. Who is this course for? College students: Those who want to fill gaps or go beyond the requirements of their courses. Students in preparatory classes: For those who wish to prepare for the entrance exams for the grandes écoles. Math enthusiasts: Those who seek to enrich their understanding of mathematics and take on intellectual challenges. Professionals in retraining: For those who wish to master mathematics with a view to pursuing higher education or improving their skills. Benefit from transformative learning: Join this program and develop real mathematical expertise that will open the doors to academic and professional excellence. Let yourself be guided by innovative teaching and effective methods to achieve your goals. Expected results : By the end of this course, you will be able to: Solve complex mathematical problems methodically and confidently. Understand and apply advanced concepts in university mathematics. Achieve better results in your exams and successfully meet academic challenges. Develop analytical and logical thinking, which is essential in all areas. Register now and start your journey to math mastery!
Numerical analysis · Algebra · Math
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Yedija Messa Sirao - Manchester, United Kingdom199 CNY
199 CNYLearning and Mastering Artificial Intelligence and Data Science: From Fundamentals to Advanced Applications for Real-World Success
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
Siu Tim - Birmingham, United Kingdom331 CNY
331 CNYStatistics and Mathematics for Advancing thinking and logic (University Based Teaching)
This is not your traditional math class! Rather than focusing on rote memorization or rigid formulas, this course emphasizes developing a deeper understanding of mathematical and statistical reasoning. Instead of simply teaching students how to calculate an average (mean), for instance, I will guide them toward discovering how to develop a value that they believe best represents an average. This reflective approach helps students think critically about the meaning and application of mathematical concepts, rather than just performing calculations. The course prioritizes practical applications over theoretical repetition. You will engage with real-world case studies and utilize modern tools such as MATLAB, R, and Python to solve problems across fields like medicine, social sciences, and business. We will explore statistical reasoning, data analysis, and numerical algorithms, always with the goal of helping students connect these abstract concepts to professional and real-life scenarios. By encouraging students to question, analyze, and understand the underlying logic of mathematical principles, the course fosters critical thinking and problem-solving skills. By the end, you will not only know how to perform calculations but also understand the "why" behind them, enabling you to apply mathematical reasoning effectively in academic and professional contexts.
Statistics · Math · Numerical analysis
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