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Discover the Best Private Statistics Classes in Basak

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 Basak, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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75 statistics teachers in Basak

Dr Ahmed

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£12

60-min

/h

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economy(macro and micro ) mathematic economy and managementTranslate this text using Google Translate.

economy(macro and micro ) mathematic economy and managementTranslate this text using Google Translate.

Welcome I am Dr. Ahmed, lecturer and trainer for financial, accounting and economic subjects I teach them in Arabic and English I hold a Bachelor's degree in Financial and Administrative Sciences, specializing in Accounting, Faculty of Financial and Administrative Sciences, Alexandria University, and a Master's degree with honors from the Institute of Graduate Studies, Alexandria University, in addition to many professional and training certificates in the field of teaching and training I combine professional and academic work, as I am a lecturer at one of the higher institutes and a certified trainer in the field of training professionals in the accounting and auditing profession. I have many accounting courses for non-professionals in the accounting profession and a financial consultant for many private companies in the field of developing internal systems for accounting and internal auditing. I am also part of a work team to prepare ready-made automated accounting programs In addition to my work as a financial controller at the Egyptian Ministry of Finance, I have more than twenty-five years of experience in the field of accounting and auditing My vision is that understanding is the fastest and shortest path to excellence, and this comes through linking academic information with practical practice and examples It is a fact that makes learning fun. I am always honored to be at your service and wish you all success and prosperity.

Catherine

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£48

60-min

/h

An outstanding qualified and experienced Maths Teacher for 11+ / GCSE / IGCSE / A LEVEL / Higher Ed.Translate this text using Google Translate.

An outstanding qualified and experienced Maths Teacher for 11+ / GCSE / IGCSE / A LEVEL / Higher Ed.Translate this text using Google Translate.

CS MATHS is the company name for Catherine Slacks Maths Tuition We pride ourselves on superior quality maths tuition, structured to the requirement for each student. This enables each student to achieve their desired result. All of Our teachers are: • Qualified native English speaking. • British trained and experienced. (at least 5 years teaching experience in maths in the British system). • All teachers have an up-to-date DBS certification. SERVICES • Exam / Test preparation and revision. • Additional help and support to understand classroom topics. • Homework help. • Ensure all areas of the curriculum are covered. • Regular progress reports to parents, including online support. • Students continually assessed for strengths and weaknesses. • All study materials provided. • Work at a pace suitable for the student, creating effective learning. • One to one - online or at my home in Liopetri • Small groups -online or at my home in Liopetri. • Full online support for both parents and students. CURRICULUM COVERED British Curriculum • KS2, KS3 and KS4 • 11+ • GCSE & IGCSE • Further Maths • A level maths International Curriculum • Algebra I and II • Geometry • Trigonometry • IB and AP

Abdou

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£23

60-min

/h

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

📊 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.

Osama

£22

60-min

/h

Math- This integrated mathematics course offers students a thorough foundation in algebra, pre-calc, calculus, statistics.Translate this text using Google Translate.

Math- This integrated mathematics course offers students a thorough foundation in algebra, pre-calc, calculus, statistics.Translate this text using Google Translate.

Algebra Fundamentals: Covers the essential algebraic concepts, including equations, inequalities, functions, and graphing. Pre-Calculus Essentials: Introduces topics such as functions, trigonometry, exponential and logarithmic functions, and conic sections. Calculus I: A comprehensive introduction to differential calculus, covering limits, derivatives, and their applications in various fields. Calculus II: Further exploration of integral calculus, including techniques of integration, applications of integration, and infinite series. Algebraic Manipulation: Advanced algebraic techniques and manipulations to solve complex equations and inequalities. Geometry and Trigonometry: A study of geometric principles, trigonometric functions, and their applications. Probability and Statistics: An introduction to probability theory, statistical analysis, data collection, and inference. Practical Applications: Real-world applications of mathematics in fields like physics, engineering, economics, and social sciences. I am certain you will have a solid foundation in algebra, pre-calculus, calculus, and statistics, enabling them to excel in advanced mathematics and apply their skills in various academic and professional contexts.

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