Programming, algorithms and data science in python - all levels

Are you having trouble with your programming classes? Have you always been intrigued by programming, but don't you dare take the plunge on your own? Do you already have basic knowledge, but want to improve your level? So I can help you with your goals. I adapt to your individual needs and experience level. With 10 years of scientific research and holder of a doctorate in Geographical Sciences from the Free University of Brussels, I have been using Python for several years for the automation of data collection and processing, in particular the processing of satellite images with Machine Learning and Deep Learning tools. Why Python and not another programming language? • Among the various programming languages, it is probably the one with the simplest and easiest to understand syntax, which makes it an ideal language for beginners. • It is one of the most popular programming languages and the demand for professionals with Python skills is high. Many industries, including technology, finance, and healthcare use Python extensively. • It is a versatile language that can be used for many applications like scientific computing, data analysis, artificial intelligence, etc. Different formulas are possible: • Help with success for students having difficulties with their programming courses. • For people with basic knowledge of Python: ◦ Take it to the next level with object-oriented programming. ◦ Introduction to the highly sought-after field of Data Science Data with Python

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Hello and welcome! Learn about some of the most common programming languages used online and make your own website! This class is well-suited for people who are interested in, want to start to learn, or already have some basics, of Web development and would like to hone their programming skills.

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This Python course teaches you the basics of programming in Python, including variables, data types, operators, control structures (if, for, while), functions, and lists. You will also learn how to manipulate data with libraries such as Pandas and NumPy, create graphs and visualizations with Matplotlib and Seaborn, and even develop simple web applications with Flask or Django.

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.

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I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me! 😉

With 3 years of experience giving private lessons since I finished the Degree in Data Science, I offer Python classes from basic to advanced level. Both programming from scratch and adapted to certain Data Science topics such as working with datasets and some Machine Learning models, as well as in the FPR, PRG and EDA subjects of the UPV or similar. In addition to programming subjects in biological degrees such as Biotechnology or Biomedicine.

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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.

This course will allow you to have Python language skills for data analysis and visualization. During this course, you will have the opportunity to use and manipulate the most famous Python libraries such as Numpy, Matplotlib, Seaborn, Pandas, Scikit-Learn, etc. Finally, the methodology is based on familiarization with Python syntax and putting the acquired skills into practice in projects. Python is the most widely used programming language in the world. It is the reference programming language in the scientific community since it allows the creation of a multitude of scientific applications.

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