Python for statistical Analyst and learning basic of Descriptive statistics

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Are you looking for help with statistics or data analysis? To prepare for an exam, accomplish a coursework, a bachelor's, master's or doctoral thesis? I have a PhD title in physics and have been teaching statistics for 10 years. I have already helped more than 150 students succeed. I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level. I help in interpreting the output of common statistical programs (R/RStudio, Jamovi, Jasp) or in carrying out entire analyses. I am an affable character and am completely committed to one goal: the success of the student.

Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

Seit vielen Jahren begleite ich erfolgreich Schweizer Studierende in den Bereichen Statistik, Data Analytics, Machine Learning und künstliche Intelligenz. Ich habe dabei umfassende Erfahrung mit dem Einsatz von R als statistisches Programmierwerkzeug gesammelt und weiss genau, welche Anforderungen an Studierende in der Schweiz gestellt werden. Ich verfüge über zahlreiche Beispielprojekte, Datensätze und Prüfungsaufgaben und habe viele Studierende gezielt, nachhaltig und mit grossem Erfolg auf ihre Arbeiten und Prüfungen vorbereitet. Mein Fokus liegt darauf, komplexe statistische Verfahren, Algorithmen und Datenanalysen verständlich zu erklären, praxisnah zu demonstrieren und das Vertrauen in den sicheren Umgang mit Daten zu stärken. Mein Ziel ist nicht nur die Verbesserung der Noten, sondern langfristig die Entwicklung eines tiefen Verständnisses für datengetriebene Fragestellungen und moderner Technologien wie Machine Learning und KI, die im späteren Berufsleben entscheidend sind ► Wie unterrichte ich? ►Ich lege grossen Wert darauf, dass meine Studierenden statistische Konzepte, Data Analytics-Methoden sowie Machine Learning- und KI-Modelle wirklich verstehen und nicht nur mechanisch anwenden – so erzielen wir nachhaltigen Erfolg in Statistik, Datenanalyse und modernen Technologien. ►Mein Erfolg beruht auf meiner Fähigkeit, meinen Unterrichtsstil flexibel an die individuellen Bedürfnisse der Studierenden in Statistik, Data Analytics, Machine Learning und KI anzupassen, inklusive Themen wie Regressionsverfahren, logistischer Regression und anderen maschinellen Lernalgorithmen. ►Ich verwende praxisnahe, lebendige Beispiele aus Statistik, Data Science und KI, um abstrakte Konzepte wie Hypothesentests, Varianzanalyse, lineare und nichtlineare Modelle anschaulich zu erklären und tief im Gedächtnis zu verankern. ►Mit Geduld und Klarheit breche ich komplexe statistische Analysen, Machine-Learning-Modelle und Datenprozesse in ihre wesentlichen Bestandteile herunter, damit kein Studierender überfordert wird und ein stabiles Fundament in Statistik, Data Analytics und KI aufbauen kann. ►Ich bin überzeugt, dass eine vertrauensvolle Zusammenarbeit entscheidend ist, um Unsicherheiten in Statistik oder Data Science abzubauen und eine produktive Lernatmosphäre zu schaffen. ►Ich biete intensive Prüfungsvorbereitung und Projektbetreuung in Statistik, Data Analytics, Machine Learning und KI an, entwickle mit meinen Studierenden Strategien gegen Prüfungsangst und trainiere mit ihnen reale Datensätze und komplexe Algorithmen. ►Als erfahrener Online-Tutor für Statistik, Data Analytics, Machine Learning und KI nutze ich moderne Tools wie interaktive Whiteboards und Live-Coding-Sessions in R, um den Unterricht so effizient und praxisorientiert wie möglich zu gestalten. ►Standorte: Ich unterrichte Statistik, Data Analytics, Machine Learning und KI bei Ihnen zuhause, online oder nach Absprache – flexibel, professionell und genau auf Ihre Bedürfnisse zugeschnitten.

Are you ready to become the tech-savvy problem-solver everyone turns to? Join this dynamic, hands-on class designed to unlock your full potential across four essential pillars of the digital age: 🧮 Mathematics – Strengthen your logical thinking and problem-solving skills, the foundation of all great tech minds. 🐍 Python Programming – Learn to code smart, build real-world projects, and automate anything. Python makes it fun and powerful. 🌐 Networking – Understand how the internet works from the ground up. Routers, protocols, IPs – we’ll demystify them all. 🔐 Cybersecurity – Learn how hackers think, how to protect systems, and start your journey into ethical hacking.

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming. Why choose this Course? By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code. You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

Passionate about programming, we offer Python support courses adapted to all levels, from beginner to advanced. These courses are aimed at students in preparatory classes for grandes écoles (CPGE) as well as anyone wishing to acquire solid programming skills. The lessons cover the essential foundations of Python with a clear and accessible teaching approach. Whether you are new to programming or want to deepen your knowledge, you will benefit from structured and progressive teaching. With a focus on concrete concepts and practical examples, these courses aim to strengthen your skills in a tangible way. You will be guided through the nuances of Python, gaining a deep understanding that will benefit you both in your studies and in your future career. Join us to explore the fundamentals of Python programming and progress to more advanced levels. Together, we will build a solid foundation and develop the skills needed to succeed in the dynamic world of computer programming.

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.

As a first grade mathematics teacher who graduated from the teachers' college and taught for 13 years in public high schools, I offer mathematics tutoring courses at home for: College or high school students of levels T and Common Core Sciences, TC Technological, 1st Bac Experimental Sciences and terminal of all sectors (SVT-PC-SC.Math-L) The 2nd and 1st general classes Terminale specialty of the French system The 5th, 4th and 3rd levels of the college My goal is to help students to: Improve their level Deepen their knowledge Assimilate their courses fill in their gaps improve I am also able to support them in the preparation of their exams and entrance exams to the Grandes Ecoles, as well as providing them with homework help. I am convinced that I have the qualities required to allow my students to progress and perhaps even give them a taste for this subject!"

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.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

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This class is designed for absolute beginners who want to start their journey in programming with Python or C++. We’ll start from the very basics—understanding how code works, writing your first program, and gradually moving on to topics like variables, loops, conditionals, functions, and object-oriented programming (OOP). Whether you’re a school student, a university freshman, or just someone curious about coding, I’ll guide you step by step using clear explanations and hands-on practice. By the end of the course, you’ll be confident writing basic programs, solving problems, and ready to take on more advanced CS topics. No prior programming experience is needed—just curiosity and a willingness to learn!

Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students. You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.

Data analysis is an essential skill in today’s data-driven world. Whether you’re a student, professional, or curious learner, understanding how to interpret, visualize, and apply data can open the door to smarter decisions and deeper insights. I've designed this course as a hands-on, beginner-friendly introduction to data analysis and applied mathematics. This class is perfect for anyone who wants to develop a practical understanding of how to work with data using real-world examples and essential mathematical concepts. You’ll learn how to: -Organize, clean, and interpret datasets -Use tools like Excel, Power Bi, Python, R-studio and Tableau -Apply mathematical techniques -Visualize data through charts, graphs, and dashboards -Draw conclusions and make data-driven decisions