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Abdou - Riyadh, Saudi Arabia141 QAR
141 QARStatistics, Data Visualization, and Machine Learning for Beginners
📊 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
Abdelazyz - France154 QAR
154 QARMathematics, statistics to learn the basics and advanced
I offer comprehensive and personalized courses in Mathematics, Statistics, Machine Learning, Programming, and Algorithms, tailored to all levels, whether you are a student, professional, or enthusiast. With a strong background in **Applied Mathematics and Computer Engineering**, coupled with hands-on experience in research and industry projects, I leverage my expertise to provide clear, structured, and practical learning focused on solving real-world problems. My courses cover a wide range of topics, from foundational theories to advanced applications, emphasizing intuitive understanding and practical implementation. Whether you aim to master core concepts, prepare for exams, or develop technical projects, I am committed to guiding you with a teaching approach tailored to your needs. Feel free to reach out to discuss your goals and design a customized learning path. Together, we can tackle academic and professional challenges in these exciting fields! ============================================================================= I offer in-depth and personalized courses in Mathematics, Statistics, Machine Learning, Programming and Algorithms, adapted to all levels, whether you are a student, professional or enthusiast. With a solid background in Applied Mathematics and Computer Engineering, as well as practical experience in research and industry projects, I use my skills to offer you clear, structured learning focused on solving real-world problems. My courses cover a variety of topics, from theoretical foundations to advanced applications, with an emphasis on intuitive understanding and practical application. Whether it is to master fundamental concepts, prepare for exams or develop technical projects, I am committed to supporting you with a teaching approach adapted to your needs. Please contact me to discuss your goals and build a customized learning path. Together, we can tackle the academic and professional challenges in these exciting fields!
Statistics · Math
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Our students from Manzini evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Manzini to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 6 reviews.

Math and statistics course for all levels (Zurich)
Ghassen
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Ghassen helped me a lot in understanding statistics and spss! For sure recommended
Review by AIGERIM

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