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Discover the Best Private Statistics Classes in Ruislip

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Ruislip, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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2 statistics teachers in Ruislip

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2 statistics teachers in Ruislip

Statistics
Data science, statistics & mathematics – clearly explained, personally supported. My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work. With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level. Who I am – and why I teach: I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven. In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible. I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms. -What you can expect from me: One-to-one lessons with a focus on data comprehension, statistics & analytical thinking Support with projects, assignments, exams or getting started in the data world Practical explanations – step by step and adapted to your everyday life Teaching modern methods for data analysis, modeling & interpretation Long-term strategies for problem-solving & structured thinking Flexible lessons in Bern or online – personal, competent & reliable Why I can help you understand data science: Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread: How data tells stories, how you analyze it, and how you make smart decisions. With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently. Learn data analysis. Analyze and model complex data sets – understandable, practical and with structure. If you're ready to get to grips with data, I'm ready to guide you.
Statistics · Computer programming · Math
📊 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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Our students from Ruislip evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Ruislip to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 27 reviews.

Data science , Analytics, Machin learning, statistics
Srinivas
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Srinivas is a skilled tutor. He is patient and has a problem-solving attitude. Shriniva's goal is that students master the subject. An excellent tutor for someone that wants to work hard and become independant user.
Review by IFI
Statistics, Econometrics (including calibration of models on real data) (Adliswil)
Gianmarco
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Gianmarco helped me understand and solve my problems in a friendly, quick and clear manner. He displayed a thorough understanding of the topic. I very much appreciate him as a teacher and can recommend him to anyone.
Review by CHRISTINA
Mathematics Tutor (ALL LEVELS~ Highschool To Masters) (Neukölln)
Layane
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Layane is patient, competent, and professional. Our child looks forward to her lessons.
Review by JOEL
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