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622 math teachers in Eastern Province

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622 math teachers in Eastern Province

Abdou - DohaC$43
C$43Statistics, 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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Awsaf R - RiyadhC$23
C$23MATH, ENGLISH, COMPUTER SCIENCE, GEOGRAPHY AND SCIENCE
This class is designed for students from Class 1 to 5, focusing on building a strong foundation in Mathematics, Science, and Computer Science. Lessons are engaging, interactive, and adapted to the learning pace of each student. The goal is to make learning fun and meaningful while helping students develop essential skills, improve their academic performance, and build confidence in these core subjects. Class 1 Mathematics (Age: 6–7 years) Key Learning Objectives: -Develop basic number sense and counting skills. -Introduce simple arithmetic operations. -Understand basic shapes, patterns, and measurement concepts. *Concepts and Skills: -Numbers -Addition and subtraction (up to 2 digits) -Word problems (single step) -Shapes and Geometry -Measurement -Patterns and Sorting -Data Handling Class 1 Computer Science (Age: 6–7 years) *Key Learning Objectives: -Introduce basic computer concepts and terminology. -Familiarize students with computer parts and simple operations. -Build basic digital literacy. *Concepts and Skills: -Introduction to Computers -Parts of a Computer -Basic Computer Operations -Keyboard Skills -Drawing and Painting Class 1 Science (Age: 6–7 years) Key Learning Objectives: -Develop curiosity about the natural world. -Introduce basic concepts of living and non-living things. -Understand the human body, plants, animals, and the environment. Concepts and Skills: -Living and Non-Living Things -Plants and Animals -Human Body and Health -Weather and Seasons -Our Surroundings Class 1 English (Age: 6–7 years) Key Learning Objectives: -Develop basic reading, writing, listening, and speaking skills. -Build vocabulary and learn simple sentence structures. -Introduce phonics and sound-letter association. Concepts and Skills: -Reading and Phonics -Writing Skills -Speaking and Listening -Grammar -Creative Expression
Math · Science · Computer science
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