Advanced Courses: Physics and Python Programming - For High School, University and Professionals Deepen your knowledge of physics and Python programming with advanced courses designed to meet your academic or professional challenges. This comprehensive and interactive program will allow you to acquire a thorough mastery of complex physics concepts while learning to write powerful Python code optimized for real-world applications. --- Why choose this course? - Multidisciplinary expertise: Courses led by an expert with solid experience in advanced physics and computer programming. - Tailor-made approach: Each course is tailored to your specific needs, whether it's passing exams, completing complex projects or perfecting your professional skills. - Effective methodology: Combination of clear explanations, practical examples and targeted exercises. - Flexibility of formats: Sessions of 60, 90 or 120 minutes depending on your availability and your objectives. --- Course content: Physics (Secondary to University): 1. Fundamental bases: - Laws of motion (Newton, energy, work). - Electricity, magnetism and electrical circuits. - Waves, optics and thermodynamics. 2. Advanced Physics: - Quantum mechanics and special relativity. - Physics of materials and crystallography. - Fluid dynamics and industrial applications. 3. Solving complex problems: - Analysis of real physical situations and mathematical modeling. - Strategies for solving academic and professional exercises. --- Advanced Python Programming: 1. Advanced concepts: - Object-oriented programming (OOP): classes, inheritance, polymorphism. - Advanced data structures: stacks, queues, binary trees. - Exception handling and performance optimization. 2. Specialized tools and libraries: - NumPy and SciPy for computational physics. - Matplotlib and Seaborn for data visualization. - Pandas and analysis tools for processing large data sets. 3. Practical projects: - Numerical resolution of systems of complex physical equations. - Automation of calculations and creation of optimized algorithms. - Simulation of physical phenomena in Python. --- Course formats: - 60 minutes: Focus on a specific subject or resolution of a complex exercise. - 90 minutes: Ideal for exploring a topic in more depth and for practical exercises. - 120 minutes: Perfect for intensive sessions, including theory, practice and in-depth review of concepts. Each course follows a methodical structure: 1. Review or introduction. 2. Advanced theory with concrete examples. 3. Practical applications and interactive exercises. 4. Questions and answers to consolidate your learning. --- Tools and resources included: - Collaborative platform: Digital whiteboard, screen sharing, interactive simulations. - Teaching materials: Course notes, Python tutorials, summary sheets. - Continuous assistance: Possibility to ask questions between classes by email. --- About your teacher: A professional passionate about physics and Python programming, with years of experience in higher education and industrial problem solving. Known for his ability to explain complex concepts in a clear and accessible way, he will accompany you at every stage of your learning. --- Book now! Whether you are a student, researcher or professional, this advanced course is designed to give you the tools you need to succeed in the demanding fields of physics and Python programming. Enroll to turn your ambitions into concrete achievements!

STATI CODE R STUDIO 10 years of R STATISTICIAN Msc UNINE EX CHUV and MERCK STAT I will do your code if you don't have time and explain it to you. UNIL UNINE UNIGE 10 years of experience in Statistics Psychology HEC Biology Geology Chemistry and Medicine

This course is intended for people who want tutoring or special help in order to prepare for the matriculation exams, or even those at university. I teach all school math subjects, as well as college-level analysis and algebra. If you need support in your lessons or your school exams I would be happy to prepare you and allow you to improve quickly. I can also allow you to get ahead of your program and learn mathematical concepts at university level (up to the second year of engineering school). My experience with university and college students allows me to easily adapt my pedagogy to all levels in order to get the best out of it. Classes take place mainly at my home or on the EPFL campus, I can also travel by public transport to your home.

EducPourTous offers support classes for all primary and secondary school students, as well as students from universities, colleges of higher and technical education and universities in Statistics, Accounting and Finance, Mathematics, Physics, Chemistry, Computer Science and several other teaching disciplines. Classes are taught by carefully selected professionals who meet strict quality standards to ensure the desired success. We offer individual and group support courses, at home, on our premises, by videoconference or by correspondence.

A graduate in statistics, I teach statistics for both novice and advanced statistics at the undergraduate level. Statistics is boring and there is no doubt about that :). I try to make you understand the concepts initially in an intuitive way without massacring you with formulas. Once you understand the concepts you will see that the formulas will no longer appear ancient Aramaic. I hope I can make a difference... for your grades of course =D.

I am available according to the schedule. I can help in the following subjects: - repetitious from college in maths, physics, chemistry, biology. - statistics, probabilities, econometrics. - mechanics, theoretical and mathematical physics - geometry, algebra, analysis

The methodology is the key to success for a student in the first year of medicine at the University of Geneva. It must be understood that this methodology is based on a fine balance between "being systematic", (ie ensuring all learning objectives) and "being effective" (ie working on the topics that most often come under discussion). In terms of science learning, I base my courses entirely on multiple-choice questions of two types: -Quest instructional questions: the goal is to check your understanding of the learning objectives; -question "type" exam: to prepare you for the level of difficulty required and get used to answer questions in 2 minutes on the day of the exam. In addition to tutoring I also offer courses in e-learning on my platform exa-MED tutoring. These recorded courses are available from 10CHF / hour and published every Sunday for you to test yourself on the SFO and SMB courses of the week! It's your turn!

As a Master's student in data science, my academic background has allowed me to have a solid foundation in Mathematics (Analysis, Linear and abstract algebra, Integrals and derivatives, complex numbers, gradients, etc.) I've been teaching math for years, and I'm currently teaching a math class at university. I am a pedagogue and patient.

Python is currently a very popular data analysis tool that can be used in every field. In this class, I can teach how to use Python and the basics in statistics for the usage of its many libraries. This class can be given in english or french. Python est actuellement un outil d'analyse de données très populaire qui peut être utilisé dans tous les domaines. Dans ce cours, je peux enseigner comment utiliser Python ainsi que les bases des statistiques pour l'utilisation de ses nombreuses bibliothèques. Ce cours peut être donné en anglais ou en français.

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. 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.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

Hi! Currently pursuing M.Sc. Economics from London School of Economics and Political Science (LSE). I teach Maths, Stats, and Economics to University, A-level and GCSE students in Central London. Harness your true potential through a deeper understanding of the fundamentals. Improving grades through conceptual clarity and techniques like the 52/7 productivity principle. Classes are usually 50 mins, with 10 mins for doubt clearance or future study guidance at the end. I would love to be a part of your journey by simplifying topics and making learning fun!

Dans ce cours, je vous aiderai à maîtriser des concepts mathématiques essentiels tels que l'algèbre et l'analyse. Fort de mon expérience en classes préparatoires et actuellement étudiant en quatrième année d'ingénierie, je mets à votre disposition une compréhension approfondie de ces matières pour vous garantir un apprentissage structuré et efficace. Que vous souhaitiez renforcer vos bases ou explorer des sujets plus avancés, ce cours vous accompagnera dans votre parcours mathématique.

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What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.