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Discover the Best Private Computer science Classes in United Kingdom

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103 computer science teachers in United Kingdom

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103 computer science teachers in United Kingdom

Neel - Manchester£15
£15Introduction 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
Yedija Messa Sirao - Manchester£21
£21Learning and Mastering Artificial Intelligence and Data Science: From Fundamentals to Advanced Applications for Real-World Success
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
Max - Hemel Hempstead£16
£16Computational Theory (Suitable for GCSE and A-Level)
Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint? If you understand programmatic theory, then you can write in any programming language. This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?) No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'. The topics covered are listed below Programmatic Theory: Literals, Operators, Keywords Variables, Data Types, Generics Memory Usage, Pointers, Arrays Branching, Iteration, Iterators Functions, Control Flow, Scope, Closures, Enumerations, OOP Classes and Instances, Immutability, Inheritance Polymorphism, Exception Handling, Composition Asynchronous Programming, Multithreading, Multiprocessing Internal Workings: Binary, Hexadecimal, Number Systems Extrinsic vs Intrinsic Data, Coupling, MVC Architecture CPU, FED Cycle, Spatial Locality Caching, Performance, Memory Types Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images) Data Structures and Algorithms: Performance, Big O, Measuring Performance Searching, Sorting, Decomposition Data Structures, Arrays, Linked Lists Single Buffers (Pools), Double Buffers, Ring Buffers Stacks, Queues, Priority Queues Heaps, Hash Tables, Graphs Trees, Binary Trees, Vectors
Computer science · Computer programming
Zhane - Battersea£33
£33Cyber Security and IT Consultancy Development Class
### **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
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