facebook

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.

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Computer science tutors & teachers in Manchester and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Computer science class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

0 teachers in my wish list
|
+

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:
Trusted teacher: Want to make a career in coding or stuck with your school/college syllabus. Here is the solution. I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief summary of our syllabus content which we'll be covering Introduction to Java programming • The Java Virtual Machine • Variables and data types • Conditional and looping constructs • Arrays Object-oriented programming with Java Classes and Objects • Fields and Methods • Constructors • Overloading methods • Garbage collection • Nested classes Inheritance • Overriding methods • Polymorphism • Making methods and classes final • Abstract classes and methods • Interfaces Exception handling with try-throw-catch-finally constructs • The Exception class The Object class • Cloning objects • The JDK LinkedList class • Strings • String conversions Working with types: Wrapper classes • Enumeration interface Packages • Package access • Documentation comments Applets • Configuring applets • Applet capabilities and restrictions Basics of AWT and Swing • Layout Managers • Event Handling • The Action Listener interface • Panels • Classes for various controls, such as label, choice, list, • Checkbox, etc. • Dialogs and frames • Using menus • Using the adapter classes • Graphics Threads • Synchronization The I/O Package • InputStream and OutputStream classes • Reader and Writer classes Basic concepts of networking • Working with URLs • Concepts of URLs • Sockets Database connectivity with JDBC • Java security In case you have any query, feel free to contact me. Give yourself a chance for a better future All the best
Computer science · Computer programming · Computer engineering
Trusted teacher: Master pseudo-code algorithms in this hands-on course with dozens of different algorithms In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms. This is the initial stage of your learning to become a computer scientist (programming) First we will see a broad introduction to computer programming, and we will explain what algorithms are. Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises. The topics covered are very broad and comprehensive: Introduction - Algorithm Syntax - data type and Variables - The operators - The instructions - Conditions - The repetitive structure (loops) - The tables - Research techniques - Sorting algorithms - dichotomous search - Functions - The procedures - Recursion -complexity - Introduction to the C language - ... Your first programs... Finally, you will start programming by creating several algorithms in a specific programming language (here, C language). These algorithms are applicable in all programming languages. The goal... With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession. Who is this course for? Beginner in programming Retraining Computer science students or future students Thanks and see you soon ! IMAD
Computer programming · Algorithms · Computer science
Trusted teacher: Vous êtes impliqué dans les finances, la gestion, la planification, la gestion de projet, les ressources humaines, ou peut-être même un étudiant ambitieux désireux de perfectionner ses compétences en matière de tableau de bord professionnel. Si vous recherchez une solution qui va au-delà des limitations d'Excel et de PowerPoint, alors vous êtes au bon endroit : permettez moi de vous présenter Power BI. Avec Power BI, je vous propose bien plus qu'un simple outil. C'est une passerelle vers des rapports interactifs, une gestion efficace des données et une analyse avancée. Voici ce que je peux vous offrir : - Création et gestion experte de rapports interactifs. - Transformation et nettoyage minutieux des données pour une précision maximale. - Utilisation des puissantes formules DAX pour une analyse de données avancée. - Création de visualisations personnalisées et de tableaux de bord percutants. - Partage sécurisé et publication de vos rapports pour une collaboration sans heurts. -Automatisation des tâches répétitives avec Power BI & Power Query. Peu importe vos besoins spécifiques - qu'il s'agisse de projets professionnels, d'études ou d'aspirations personnelles - je suis là pour vous offrir une solution sur mesure. Ensemble, nous créerons un programme adapté à vos objectifs, vous guidant à chaque étape de votre parcours d'apprentissage. Que vous soyez un novice cherchant à maîtriser les bases ou un expert désireux d'approfondir vos connaissances en analyse de données, je suis là pour vous fournir l'expertise et le soutien nécessaires pour réussir.
Computer science · Microsoft excel
### **Junior Level (Ages 11-14)** #### Module 1: Introduction to Cyber Security - **Week 1-2: Basics of Cyber Security** - What is cyber security? - Importance of cyber security in daily life - Common cyber threats (e.g., phishing, malware) - **Week 3-4: Safe Internet Practices** - How to create strong passwords - Recognizing suspicious online behavior - Safe use of social media #### Module 2: Introduction to Consultancy - **Week 5-6: Basics of Consultancy** - What does a consultant do? - Types of consultancy (e.g., IT consultancy, management consultancy) - Basic problem-solving techniques - **Week 7-8: Communication Skills** - Basics of effective communication - Listening skills and giving feedback - Role-playing exercises #### Module 3: Basic Cyber Security Tools and Techniques - **Week 9-10: Introduction to Encryption** - Basics of encryption and why it's important - Simple encryption activities - **Week 11-12: Cyber Security Software** - Overview of anti-virus and anti-malware software - Hands-on practice with basic cyber security tools #### Module 4: Cyber Security Projects - **Week 13-14: Group Projects** - Working on small cyber security projects - Presenting findings and solutions - **Week 15-16: Reflect and Review** - Reviewing key concepts learned - Feedback and assessment --- ### **Intermediate Level (Ages 15-17)** #### Module 1: Advanced Cyber Security Concepts - **Week 1-2: Understanding Cyber Attacks** - Types of cyber attacks (e.g., DDoS, ransomware) - Anatomy of a cyber attack - **Week 3-4: Network Security** - Basics of network security - Firewalls and intrusion detection systems #### Module 2: Consultancy Skills - **Week 5-6: Advanced Consultancy Techniques** - Consulting frameworks (e.g., SWOT analysis) - Case studies of cyber security consultancy - **Week 7-8: Client Interaction** - Understanding client needs - Role-playing client-consultant scenarios #### Module 3: Practical Cyber Security Skills - **Week 9-10: Ethical Hacking Basics** - What is ethical hacking? - Basic ethical hacking techniques and tools - **Week 11-12: Incident Response** - Responding to a cyber incident - Creating an incident response plan #### Module 4: Cyber Security Projects - **Week 13-14: Group Cyber Security Projects** - Working on intermediate cyber security challenges - Presenting solutions and findings - **Week 15-16: Reflection and Assessment** - Reviewing key concepts and projects - Feedback and improvement areas --- ### **Senior Level (Ages 18-21)** #### Module 1: Professional Cyber Security Practices - **Week 1-2: Advanced Threat Analysis** - Identifying and analyzing advanced threats - Case studies of significant cyber attacks - **Week 3-4: Cyber Security Policies and Governance** - Understanding cyber security policies - Developing and implementing cyber security policies #### Module 2: Advanced Consultancy Skills - **Week 5-6: Strategic Consulting** - Developing long-term strategies for clients - Advanced consulting methodologies - **Week 7-8: Business Development in Cyber Security** - Creating business models for cyber security services - Pitching cyber security solutions to clients #### Module 3: Specialized Cyber Security Skills - **Week 9-10: Advanced Ethical Hacking** - In-depth ethical hacking techniques - Conducting penetration testing - **Week 11-12: Cyber Forensics** - Basics of digital forensics - Tools and techniques for forensic analysis #### Module 4: Capstone Project and Professional Skills - **Week 13-14: Capstone Cyber Security Project** - Large-scale project addressing a real-world cyber security issue - Collaboration with local businesses or organizations - **Week 15-16: Professional Skills** - Advanced communication and presentation skills - Professional ethics in cyber security --- ### **Supplementary Activities** - **Workshops and Guest Lectures** - Regular workshops with industry professionals - Guest lectures from cyber security experts and consultants - **Competitions and Hackathons** - Participation in local and national cyber security competitions - Hosting cyber security challenges and hackathons --- This syllabus aims to provide a comprehensive education in both cyber security and consultancy, ensuring that students gain the necessary skills and knowledge to excel in these fields.
Computer science
star icon
active star icon
(24 reviews)
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
Showing results 1 - 25 of 12021 - 25 of 1202

Our students from Manchester evaluate their Computer Science teacher.

To ensure the quality of our Computer Science teachers, we ask our students from Manchester to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 94 reviews.

Python Step by step tutorial for beginners and intermediate (Amsterdam)
Izhar
rating star
rating green star
Izhar is an excellent tutor. He is very professional, knowledgeable, enlightening, insightful and adaptable/receptive to individual student needs. My tutoring session with him was really amazing and transformative for me and I highly recommend him. He keeps his lessons effective, engaging and fun. He customizes classes based upon your level of understanding. He conveys his knowledge of complex material in a manner which is easily understandable. If you want someone to work with you and ensure you progress like I have, go with Izhar.
Review by DANNY
Expert Math Tutor | School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
rating star
rating green star
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
rating star
rating green star
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
map iconMap