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Computers & electronics lessons in Woodford Green

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2 computers & electronics teachers in Woodford Green

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2 computers & electronics teachers in Woodford Green

Fiifi - United Kingdom£30
£30Digital Literacy Skills with Certitications from Certiport
This online course is designed to equip students with the skills and knowledge needed to earn three essential IT certifications: IC3 Digital Literacy, Microsoft Office Specialist (MOS), and IT Specialist Certification. Delivered via Microsoft Teams, the course offers a comprehensive, interactive learning environment where students can engage in live lessons, participate in discussions, and access a wealth of learning resources. Students will gain proficiency in foundational digital literacy, advanced Microsoft Office applications, and core IT concepts through hands-on practice and guided instruction. Throughout the IC3 Digital Literacy module, students will learn the fundamentals of computer usage, online safety, and productivity tools, making them adept at navigating digital environments. This certification prepares students to understand how computers work, how to manage data effectively, and how to collaborate online while maintaining security and privacy. The Microsoft Office Specialist module focuses on building expertise in Microsoft Office applications like Word, Excel, PowerPoint, and Outlook. Students will master creating professional documents, spreadsheets, and presentations while learning to automate tasks and utilize advanced features. This certification ensures students are prepared to use Microsoft Office products efficiently in academic and professional settings. Lastly, the IT Specialist Certification module covers core IT concepts, including networking, software development, cloud computing, and cybersecurity basics. Students will gain a deeper understanding of how networks operate, the fundamentals of coding, and how to troubleshoot common IT problems. This module prepares students for entry-level roles in IT, providing a strong foundation for further studies or career advancement in the field. By the end of the course, students will be prepared to take the IC3, MOS, and IT Specialist certification exams, with the confidence to excel in digital literacy and technology applications. All lessons and study materials are delivered through Microsoft Teams, enabling students to learn at their own pace while receiving personalized support from the instructor. With regular assessments, practice exams, and real-world projects, students will develop the skills needed to succeed in today's technology-driven world.
Computer basics
Neel - Manchester, United Kingdom£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
Hurraira - United Kingdom£19
£19Object-Oriented Programming (OOP) & Data Structures and Algorithms (DSA) Tutoring in Java, C, C++, and Python
Master the Fundamentals: My tutoring sessions are designed to give students a solid foundation in Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA). Whether you're a beginner or need to strengthen your skills, we will cover the essential concepts that are critical for coding and software development. Language Flexibility: I offer tutoring in Java, C, C++, and Python, providing flexibility for students to learn in the language they are most comfortable with or the one required for their academic needs. We’ll compare the nuances of these languages to help you develop a deeper understanding of programming concepts. Comprehensive OOP Concepts: Learn the core pillars of OOP—encapsulation, inheritance, polymorphism, and abstraction—and how to implement them in real-world coding projects. My lessons focus on making these abstract concepts easy to grasp through hands-on practice and examples. Data Structures & Algorithm Mastery: From arrays, linked lists, and stacks, to more complex structures like trees, graphs, and hash tables, I guide students through the implementation and usage of these critical data structures. We’ll also explore fundamental algorithms like sorting, searching, recursion, and dynamic programming, ensuring you can tackle coding problems efficiently. Problem-Solving Skills: I focus on building strong problem-solving skills and critical thinking. We’ll work on a variety of programming challenges, competitive coding exercises, and real-world applications that sharpen your logical reasoning and coding proficiency. Interactive & Engaging Learning: Every session is interactive, with plenty of coding exercises, real-time debugging, and immediate feedback. You’ll walk away with a thorough understanding of how to apply programming concepts in a practical way. Exam Preparation & Beyond: Whether you're preparing for school exams, coding interviews, or personal projects, my tutoring is geared toward equipping you with the skills and knowledge you need to succeed. I also provide practice problems and quizzes to ensure continuous learning and improvement.
C - c++ · Python · Java
(24 reviews)
Adam - Paris, France£22
£22Basic concepts of algorithms and data structures in computer science
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 24 reviews.

Basic concepts of algorithms and data structures in computer science (Paris)
Adam
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