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Discover the Best Private Computers & electronics Classes in Manchester

For over a decade, our private Computers & electronics 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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12 computers & electronics teachers in Manchester

Law · Project management · Risk management
Microsoft excel · Visual basic · Microsoft office
Video software · Adobe premiere
C Language (Procedural Programming): Understand the basics of procedural programming. Master the fundamental concepts: variables, data types, operators, control structures, functions, and memory management. Develop skills in writing, compiling and debugging programs in C. C++ language (Object Oriented Programming): Introduction to object-oriented programming and its principles. Master the basic concepts: classes, objects, inheritance, polymorphism, encapsulation and abstraction. Develop C++ applications using standard libraries. C# language (Object Oriented Programming): Understand the fundamentals of the C# language and the .NET environment. Master the concepts of object-oriented programming in C#: classes, interfaces, inheritance, polymorphism, etc. Develop C# applications with particular attention to practical aspects and good coding practices. Methodology : Analysis of individual needs: Each student has specific needs, whether beginner or advanced. An initial evaluation will determine the level and objectives. Theoretical lessons: Detailed explanation of the concepts and fundamental principles of programming. Practical exercises: Application of concepts through concrete exercises and projects to reinforce learning. Feedback and personalized monitoring: Correction of work, explanations of errors, and advice for improvement. Concerned public : Computer science students Professionals wishing to retrain or improve their skills Programming enthusiasts wishing to deepen their knowledge
Computer programming
Trusted teacher: This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights. Write me description for apprentices website development course Here is a course description for Apprentices on website development. This description is designed to attract learners interested in learning how to create websites, by highlighting the skills they will learn and the benefits they will gain from it. Course Title: Website Development: From Beginner to Expert Description: Learn how to create professional websites with our comprehensive website development course, designed for learners of all levels. Whether you're a beginner looking to learn the basics or a developer looking to deepen your skills, this course will guide you through every step of the process of creating modern, interactive websites. Course content : Introduction to Web Development: Understand how the web works Introduction to HTML and CSS Creating your first web page Advanced CSS and Responsive Design: Layout with Flexbox and Grid Responsive site design for all devices Introduction to CSS preprocessors (Sass, LESS) JavaScript and Client-Side Programming: JavaScript Basics DOM manipulation Introduction to JavaScript libraries (jQuery, React) Server Side Development: Introduction to Node.js Creating a REST API Connection to a database (MongoDB, SQL) Modern Frameworks and Tools: Discovery of popular frameworks (Vue.js, Angular) Using package managers (npm, Yarn) Introduction to Git and GitHub for version management Security and Optimization of Websites: Essential web security practices Optimizing website performance SEO techniques for better SEO Final Project: Creation of a Complete Website: Planning and design of your project Development and launch of the site Review and continuous improvement Why Choose this Course? Hands-on Learning: Work on real-world projects to gain hands-on experience. Personalized Support: Receive personalized support from your instructor to progress at your own pace. Current Skills: Learn the latest and most in-demand technologies and tools on the market. Flexibility: Courses available online and in person, tailored to your schedule. Prerequisite: No prior knowledge is required, although basic familiarity with using a computer is recommended. Please let me know if you would like to customize this description further or if you have any specific items you would like to include! Course Data Extraction Course with Python Here is a course description for Learners on data extraction with Python. This course is designed to guide learners in learning basic and advanced data mining techniques, using the Python language, which is widely recognized for its power and ease of use. Course Title: Data Extraction with Python: From Beginner to Expert Description: This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights. Course content : Introduction to Data Extraction: Concepts and Importance of Data Mining Overview of Python Libraries for Data Extraction Python Fundamentals: Basic syntax and data structures Introduction to modules and libraries Data Manipulation with Pandas: Loading, cleaning and transforming data Data analysis and descriptive statistics Web Scraping with Python: Using BeautifulSoup to extract data from web pages Automating scraping with Selenium Managing requests and web APIs with Requests Working with Structured Data: Extracting data from CSV, JSON, and XML files Connecting and extracting data from SQL databases Use of Unstructured Data: Text analysis and natural language processing (NLP) Extracting data from PDF files and other documents Advanced Extraction Techniques: Introduction to machine learning for data mining Using Libraries Like Scrapy for Complex Projects Final Project: Putting Data Extraction into Practice: Planning and Executing a Data Extraction Project Presentation and visualization of results Why Choose this Course? Practical Approach: Each lesson is accompanied by practical exercises to strengthen your skills. Python Expertise: Develop proficiency in Python, an essential language for data science. Concrete Projects: Work on projects that reflect real industry challenges. Flexibility: Courses available online or in person, depending on your convenience. Prerequisite: No prior programming knowledge is required. This course is open to beginners looking to enter the world of data mining.
Python
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