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Private teachers in Bwzby Abou Dabi Lmrt Lrby Lmthd

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225 private teachers in Bwzby Abou Dabi Lmrt Lrby Lmthd

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225 private teachers in Bwzby Abou Dabi Lmrt Lrby Lmthd

Anderson - Abu Dhabi199 CNY
199 CNYWelcome to our Portuguese class! This course is designed to help you communicate confidently in real-life situations.
Enhancing Communication in Portuguese: Speaking, Listening, and Grammar in Harmony Introduction Hello! My name is Anderson and I am Brazilian . Today I will present a Portuguese class proposal that balances the skills of speaking, listening, and grammar in a practical, engaging, and effective way. Lesson Objectives • Develop students' oral fluency in real-life situations. • Improve listening comprehension with authentic materials. • Reinforce grammar in a contextualized manner. Speaking Strategies: • Dialogues and role-playing • Pair and group activities • Short oral presentations Activity Example: “You are at a restaurant. One student is the waiter, the other is the customer. Practice the dialogue using the learned vocabulary.” Assessment: • Fluency, vocabulary, and pronunciation Listening Strategies: • Use of real audio: songs, podcasts, interviews • Pre-, during-, and post-listening tasks • Use of videos with and without subtitles • Activity Example: Listen to a Brazilian song (e.g., “Aquarela” by Toquinho) → Identify key words → Fill in the blanks in the lyrics Grammar in Context Strategies: • Grammar taught through real texts and dialogues • Structure comparison (inductive method) • Practical exercises and grammar games Activity Example: “Read the dialogue and highlight the verbs in the present tense.” → Then, change them to the past tense. Skill Integration Lesson Flow: 1. Listen to a dialogue 2. Identify vocabulary and structures 3. Practice the dialogue in pairs 4. Apply the grammar in a new situation Live Demonstration (Optional) Let’s do a quick listening and speaking activity together! • Listen to a short audio (30 seconds) • Answer 2 questions • Reproduce part of the dialogue in pairs Method Advantages • More interactive and motivating lessons • Meaningful and applicable learning • Students feel more confident speaking and understanding the language
Portuguese
Abdou - Abu Dhabi213 CNY
213 CNYStatistics, 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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Teacher of English, science and mathematics (Arabic and English curriculum) (Abu Dhabi)
Saria
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