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202 private teachers in Manchester

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202 private teachers in Manchester

Ace Blakeburn - ManchesterC$57
C$57A-level & GCSE Computer Science tutor. In person - Manchester city centre
Do you live in Manchester and are you aiming to do well in your GCSE or A-level Computer Science or programming coursework or exams? Here’s why I’m the right tutor for you: FIRSTHAND EXPERIENCE As an undergraduate studying Software Engineering at Manchester Metropolitan University (MMU), I have successfully navigated the challenges of Computer Science at both GCSE and A-level. My recent firsthand experience with these exams means I know what it takes to do well and can guide you effectively. EMPATHY & PERSONALISED LEARNING Having faced and overcome my own learning challenges, I understand how important it is to find the right approach for every student. I’ll work with you at your pace, using strategies that suit your learning style, to help you achieve your goals in a supportive and encouraging environment. SUBJECT EXPERTISE I can cover everything from basic algorithms and Python programming to more advanced topics like data structures, networks, and computational thinking. I will work with you to simplify complex topics, making them easy to understand and apply. EXAM-FOCUSED APPROACH I have a good understanding of the GCSE and A-level curriculums, as well as the exam requirements. I can provide clear, practical advice on how to tackle theory questions, master coding challenges, and maximise your marks with effective revision techniques. PASSION FOR TEACHING TECHNOLOGY I’m passionate about making technology approachable and inspiring confidence in others. My goal is to spark your interest and develop your skills so you can thrive in today’s digital world. Let’s work together to turn your computer science ambitions into achievements. Whether you're aiming to improve grades, solidify your understanding, or gain confidence in programming, I’m here to help you.
Computer science · Computer programming
Shadyar - ManchesterC$36
C$36Mathematics for All: Tailored Learning for Every Age and Skill Level
In my math classes, I aim to create an engaging and inclusive learning environment that caters to students of various ages and levels of mathematical fluency. My approach is designed to build confidence, foster critical thinking, and develop problem-solving skills through tailored instruction and interactive activities. Class Structure Beginner Level: For younger students or those new to mathematics, I focus on foundational concepts such as arithmetic, basic geometry, and number sense. Lessons are interactive, using visual aids and hands-on activities to make learning fun and relatable. Intermediate Level: For students with some math background, I introduce more complex topics like algebra, fractions, and data interpretation. Classes emphasize logical reasoning and real-world applications to deepen their understanding. Advanced Level: For older students or those with strong math fluency, I cover advanced topics such as calculus, statistics, and more. These sessions are designed to challenge students with problem-solving tasks, collaborative projects, and discussions on practical applications in data science. Teaching Methods I employ a mix of group activities, individual practice, and technology-enhanced learning tools to cater to diverse learning styles. Problem-solving is at the heart of my teaching. Students work on meaningful problems that encourage exploration, collaboration, and discovery. For younger learners or beginners, I use games and visual representations to simplify abstract concepts. Advanced learners are encouraged to tackle real-world challenges that integrate mathematics with data science principles. Goals To build a strong mathematical foundation for all students. To inspire curiosity and a love for mathematics through creative teaching methods. To prepare advanced learners for academic or professional pursuits in fields like data science by connecting mathematical theory with practical applications.
Math
Sijabuliso - ManchesterC$28
C$28GCSE and A Level Chemistry (Physical, Inorganic and Organic)
Chemistry, whether at the GCSE or A-Level, offers students an exciting journey into the building blocks of our world and equips them with a foundational understanding of matter and its transformations. At the GCSE level, students are introduced to key concepts such as atomic structure, the periodic table, bonding, and chemical reactions. Through hands-on experiments, they explore how elements combine to form compounds, investigate the properties of acids and bases, and study introductory organic and environmental chemistry. Practical skills and theoretical knowledge are developed in parallel, fostering an understanding of the scientific method and analytical thinking. As students advance to A-Level Chemistry, they deepen their knowledge with more sophisticated topics and a greater focus on problem-solving. Here, they explore physical chemistry, learning about reaction rates, thermodynamics, equilibrium, and redox reactions in-depth. Organic chemistry expands to cover mechanisms, functional groups, and synthetic pathways, while inorganic chemistry includes the study of complex compounds and transition metals. A-Level students also engage in advanced practical work, developing precision in laboratory techniques and research skills crucial for scientific inquiry. Together, GCSE and A-Level Chemistry provide a solid framework for students, paving the way for further study in fields like medicine, engineering, pharmacology, and biochemistry. By exploring both fundamental and complex chemical principles, students cultivate a critical understanding of the natural world and gain skills that will benefit them in a wide range of scientific and technical disciplines.
Chemistry
Neel - ManchesterC$28
C$28Introduction to Python Programming and Machine Learning Basics
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
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