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Discover the Best Private Computer science Classes in Manchester

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

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6 computer science teachers in Manchester

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
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
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Computer science
Trusted teacher: Technology is advancing at a rapid pace, and we rely more and more on computers for everything from cooking to organizing our taxes. An understanding of computer basics is compulsory nowadays. The goal of this course is to give you a solid foundation on basic IT and computer knowledge. Once you understood these basics, you will have a clear understanding on which to build your future knowledge of an skill with computers and the Internet. COURSE OUTLINES: KNOWING COMPUTER - Introduction and objectives - What is Computer? - Components of Computer system - Concept of Hardware and Software - Concept of computing, data and information - Applications of IECT - Bringing computer to life OPERATING COMPUTER USING GUI BASED OPERATING SYSTEM - Introduction and objectives - Basics of Operating System - The User Interface - Operating System Simple Setting - File and Directory Management UNDERSTANDING WORD PROCESSING - Introduction and objectives - Word processing Basics - Opening and closing Documents - Text Creation and manipulation - Formatting the Text - Table manipulation USING SPREAD SHEET - Introduction and objectives - Elements of Electronic Spread sheet - Manipulation of Cells - Formulas and Function INTRODUCTION TO INTERNET, WWW AND WEB BROWSERS - Introduction and objectives - Basic of Computer Networks - Internet - World Wide Web (WWW) - Web Browsing Softwares - Search Engines - Understanding URL - Surfing the web COMMUNICATIONS AND COLLABORATION - Introduction and objectives - Basics of E-mail - Using E-mails - Document collaboration - Instant Messaging and Collaboration MAKING SMALL PRESENTATIONS - Introduction and objectives - Basics of Making small Presentations - Creation of presentation - Preparation of slides - Presentation of slides - Slide show FINANCIAL LITERACY FOR BANKING SCHEME AND APPLICATIONS - Introduction and objectives - Why Savings are needed? - Drawbacks of keeping cash at home - Why Bank is needed? - Banking products - Banking Service Delivery Channels - Various Schemes - Bank on your mobile - Insurance
Computer basics · Computer science · Internet
Trusted teacher: With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
Computer science · Information technology
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Adam - Paris, France111 QAR
Trusted teacher: Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---
Tutoring · Computer science · Algorithms
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Our students from Manchester evaluate their Computer Science teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 138 reviews.

Mathematics classes for beginners and intermediate level (Gouda)
Mahmood
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I need to re-study 4 years of high school maths in only 5 months. Mahmood agreed to help me with this difficult task and thanks to his professional way of teaching I believe I can make this happen. He explains topics in detail and yet quickly enough to spare time for other topics. If you are unsure he points you to the right direction. Most important thing for me was that he made me realize that I first need to master concept #1 in order to be able to later master concept #5 and so on. You can see that he has a lot of teaching experience, he tries to understand the way YOU think and based on that he serves you clear explanation for topics you struggle to understand. I definitely recommend him as your next teacher!
Review by RADOSLAV
Expert Math Tutor | School & University Level | Exam Prep & Confidence Boosting (Vilnius)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
Mastering Web Development: From Fundamentals to Advanced Techniques (Les Bons Villers)
Oussama
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I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN
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