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Computer science lessons in United Kingdom

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95 computer science teachers in United Kingdom

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95 computer science teachers in United Kingdom

Ainhoa - Milton Keynes£26
£26Welcome to the personalised course of Office Suite and Excel, designed specifically for you!
Trusted teacher: In this course, I will help you acquire practical skills and fundamental knowledge in the use of the Office Suite, with a special focus on Excel. Office Suite refers to the collection of computer applications used to enhance productivity in an office environment. Excel is a widely-used tool in the business field for calculations, data analysis, and chart creation. Throughout the course, we will explore the basics of the Office Suite, including programs such as Microsoft Word, Excel, and PowerPoint, among others. You will learn how to create professional documents using Microsoft Word, deliver effective presentations with PowerPoint, and manage data and perform complex calculations with Excel. Specifically regarding Excel, I will guide you through the fundamentals of the application, from entering data and basic formulas to using advanced functions and data analysis. You will learn how to create efficient spreadsheets, perform mathematical and statistical operations, utilize data analysis and visualization tools, and automate repetitive tasks using macros. Throughout the course, you will have access to practical exercises and case studies to apply your newly acquired knowledge. Additionally, you will have the opportunity to ask questions and receive personalized guidance from the instructor. By the end of the course, you will be proficient in using the Office Suite and have mastered the key functionalities of Excel. You will be prepared to apply your skills in professional and academic settings, whether it's organizing data, creating reports, conducting business analysis, or streamlining daily tasks. I am excited to accompany you on this learning journey and assist you in becoming an Office Suite and Excel expert!
Microsoft excel · Computer science · Microsoft office
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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
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
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
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Lesson 04: Command Injection & Brute Force Attack (Lesson 04 of Web Penetration Testing Series) (Hamilton)
Dr Zeeshan
The lessons I have taken with Dr Zeeshan have been a great approach to the cybersecurity field, he is always available for help and has a deep knowledge of the things he teach.
Review by GONZALO
Maths KS2, KS3, KS4 and GSCE in depth course (A-level possible) (Plymouth)
Timur
A man and teacher who has patience with the student who explains in detail
Review by SIMONA
Basic Microsoft Office Suite and Practical Computer Skills (Larne)
James
Very good and helpful
Review by CHARLES

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