Trusted teacher

13Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Trusted teacher

I offer a training course on the theme "Python Data Science and Machine Learning" intended for teacher-researchers, doctoral students and master's students. The participant will learn at their own pace and will benefit from the expertise and teaching skills of a teacher with a doctorate in computer science. Data science and machine learning skills are applicable in various research fields, including neuroscience, biology, sociology, anthropology, linguistics, etc. The objective of the training is to enable the participant to acquire skills in statistical analysis, research data management and data visualization. Participants will have the opportunity to acquire essential skills in data science and machine learning to analyze large datasets, identify trends, and better understand their research topic. The course guides the participant through the basic elements of the Python programming language and the main Python libraries dedicated to data analysis and visualization, including NumPy, Matplotlib, Pandas, as well as the Scikit-learn library dedicated to machine learning and the TensorFlow platform for deep learning. The course is divided into 16 sessions, each session lasting 2 hours. At the end of the course, the participant will master the fundamental concepts of Python Data Science and Machine Learning.

Trusted teacher

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.

Trusted teacher

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. I can help you learn python step by step

Trusted teacher

Hello, My name is Hassane, and I've been passionate about computers for over 20 years. With two decades of teaching experience, I've had the privilege of supporting learners of all ages and levels in developing their computer skills and achieving their professional and personal goals. Computer science is an essential skill today, opening the door to countless opportunities. Whether you want to learn programming, website design, data analysis, or complex problem-solving, I'm here to guide you every step of the way. What I propose: In my classes, we explore a wide range of topics to meet the needs of both beginners and advanced learners: Computer fundamentals: master the basics to get started, Hardware, Software, Binary, Operating system. Programming: learn to code efficiently in different languages (C#, Python, VBA). Web development: creating modern websites and applications. Databases: understanding, managing and analyzing data, UML, MERISE. Project management: Ms-Project, Agil, Scrum, Kanban Teaching methods: I adopt a dynamic and interactive approach to ensure a rich and enjoyable learning experience: Interactive courses: clear explanations adapted to your pace. Practical exercises: to immediately apply the concepts learned. Collaborative projects: developing real solutions as a team. Personalized monitoring: answer your questions and support your progress. Why choose me? 20 years of experience in computer teaching. Proven methods suitable for all levels. Personalized support to help you achieve your goals. A passion for passing on skills that make a difference. Whether you are a student, a professional looking to retrain, or simply curious, my courses will provide you with the tools you need to succeed in this rapidly evolving field. Join me today! Please contact me to learn more or to discuss your specific needs. Together, let's build your digital future. Hassane Experienced computer teacher and trainer

Trusted teacher

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.

Trusted teacher

Hello everyone, Thank you for taking the time to view my profile. I am a computer engineer. I have huge experience related to computer programming especially Python, C, and JavaScript. I will be happy to share with you my achievements via this excellent platform through the training that I will offer you. Looking forward to starting this learning journey with you. Thank you.

Trusted teacher

Python is the perfect programming language to get started in the field. Learning programming isn't just for people looking to make a career out of it. Learning to program can help you better understand the computer world, and will give you an open mind that can only be beneficial, regardless of your area of expertise. It would be an honor for me, a student in electrical and computer engineering, to introduce as many people as possible to this practice, which will allow you to see problem solving from another mathematical and Cartesian perspective. I offer courses online as well as in person, for all ages and all profiles.

Trusted teacher

In digital and computer science (NSI), the program aims to appropriate the methods and main concepts that underlie computer science (algorithms, digital data, HMI interfaces, languages, connected objects, networks and operating systems), in its scientific and technical dimensions. It is a question of appropriating the foundations of computer science to prepare for a continuation of studies in higher education, by training in the practice of a scientific approach and by developing one's appetite for research activities. . The teaching of digital and computer science (NSI) is based on a necessary mastery of prior digital skills and in particular deepens the practice of programming through activities related to the main parts of the program: Data Representation: Basic Types and Values Data Representation: Constructed Types Data processing in tables Interactions between man and machine on the web Hardware architectures and operating systems Languages and programming Algorithmic This involves developing the following skills: analyze and model a problem in terms of information flow and processing; break down a problem into sub-problems, recognize situations already analyzed and reuse solutions; design algorithmic solutions; translate an algorithm into a programming language, specify interfaces and interactions, understand and reuse existing source codes, develop program development and validation processes; mobilize useful concepts and technologies to ensure the functions of acquiring, memorizing, processing and disseminating information; develop abstraction and generalization skills. Transversal skills are also worked on: demonstrate autonomy, initiative and creativity; present a problem or its solution, develop an argument within the framework of a debate; cooperate within a team within the framework of a project; search for information, share resources; make responsible and critical use of IT. This teaching contributes in particular to the acquisition of digital skills. It is also a question of developing oral skills, in particular through the practice of argumentation.

Trusted teacher

21Students

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

Trusted teacher

13Students

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Trusted teacher

5Students

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.

Trusted teacher

1Students

I teach Python, C and C++ one to one, online or in person around Birmingham. Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things. Lessons are built around code you can run. I'll ask what you're working on and where you got stuck, then we write something small together, break it on purpose, and work out what the error message is actually telling you. Reading error messages properly is half of programming and almost nobody teaches it. Areas I cover regularly: Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique A-Level NEA projects and university coursework, plus debugging sessions and code review Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen. First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better. Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.