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Find the Best Online Computer Programming Tutors & Teachers for Private Lessons

For over a decade, our private Computer Programming tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1667 online computer programming teachers

MacDonald Digital

verified teacher icon
United Kingdom
25€

60-min

/h

Web Development Lessons – Learn HTML, CSS, JavaScript, React and Build Real WebsitesTranslate this text using Google Translate.

Web Development Lessons – Learn HTML, CSS, JavaScript, React and Build Real WebsitesTranslate this text using Google Translate.

Learn web development through practical, hands-on lessons designed to help you understand how modern websites are actually built. Lessons can cover HTML, CSS, JavaScript, responsive web design, React, website creation, Git and GitHub, development tools, testing and deploying websites online. Rather than focusing only on theory, we'll work through practical exercises and projects so you can apply what you're learning and gradually build your own websites. Lessons can be adapted around your current experience and goals. Whether you're completely new to coding, already learning web development, working on your own project or looking to strengthen your existing skills, we can focus on the areas where you need the most support. Topics can include: • HTML and website structure • CSS and responsive design • JavaScript fundamentals • React and component-based development • Website creation and development • Git and GitHub • Development tools and debugging • Testing websites • Deploying projects online • Building portfolio projects • Understanding the web development process The aim is not simply to give you answers, but to help you understand why things work, how to solve problems independently and how the different parts of web development fit together.

Mustafa

verified teacher icon
Palestine
21€

60-min

/h

Data Mining Algorithms Training CourseTranslate this text using Google Translate.

Data Mining Algorithms Training CourseTranslate this text using Google Translate.

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals. The course content is titled: Advanced Analysis and Data Mining. The book can be searched for using its name or the author's name. Table of Contents Chapter 1: Introduction to Advanced Analysis and Data Mining 1-1 What is data mining, its procedures and tools 1-2 What type of data is mined? 1-3 What are databases? 1-4 Relational Database 1-5 Query Language 1-6 Benefits of Database Mining 1-7 months data mining applications A - Business Intelligence (Business Intelligence) B - Internet search engines Chapter Two: Data Recognition 2-1 Data Types, Characteristics, and Features 2-2 Statistical Description of Data 2-3 Visualization of Data 2-4 Measuring data similarity and difference Chapter Three: Preparing Data for Analysis and Mining 3-1 The importance of preparing data for analysis and mining 3-2 Data Cleanup 3-3 Data Integration 3-4 Data Reduction 3-5 Data Transformation and Data Individualization Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules 4-1 Basic Concepts 4-2 Shopping basket analysis (example) 4-3 Evaluating the dependency and correlation rules being explored 4-4 Mining Multi-Level Dependency and Linkage Rules 4-5 Mining multidimensional dependency and correlation rules 4-6 Rules of nominal and quantitative dependency and correlation 4-7 Exploring and identifying rare and negative patterns 4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage 4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones 4-10 Measuring the type and strength of the relationship in dependency and correlation rules 4-11 Applications of pattern mining in practical life Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms 5-1 Basic Concepts 5-2 Classification using decision tree extrapolation 5-3 Classification using probability theory (hypothetical theory) 5-4 Classification using hypothetical network theory 5-5 Classification using correlation rules extrapolation 5-6 Classification using neural network algorithm 5-7 Classification using the nearest neighbor algorithm 5-8 Multi-category classification algorithms 5-9 Evaluating the efficiency and selection of classification algorithms Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms 6-1 Basic Concepts 6-2 Clustering by Division 6-3 Hierarchical Clustering A. Hierarchical clustering b. Hierarchical fission 6-4 Probability Clustering 6-5 High-Dimensional Clustering 6-6 Clustering of graphs and network data 6-7 Conditional Clustering 6-8 Cluster Segmentation Assessment Chapter Seven: Analyzing and Mining Outliers and Complex Data Types 7-1 Basic Concepts 7-2 Types of extreme values 7-3 Ways to Explore Extreme Values 7-4 Complex Data Analysis and Mining Chapter Eight: Planning Data Mining Operations and Their Applications in Society 8-1 Planning Data Mining Operations 8-2 Data Mining in the Community 8-3 Data mining applications in vital areas of society 8-4 Practical Application: Recommendation System Usage Scenario Appendix 1: Database Fundamentals Appendix 2: Data Warehouse Fundamentals Appendix 3: Glossary of Data Mining Terms

Lorenzo

Netherlands
26€

60-min

/h

AQA GCSE Computer Science Tutoring – Clear Explanations, Exam and Programming PracticeTranslate this text using Google Translate.

AQA GCSE Computer Science Tutoring – Clear Explanations, Exam and Programming PracticeTranslate this text using Google Translate.

I'm a third-year Computer Science student at Maastricht University, and I sat AQA GCSE Computer Science myself in 2024. Because it wasn't that long ago, I still remember what it feels like to prepare for the exams, get stuck on certain topics and wonder exactly what an exam question is asking for. My main goal is to make Computer Science feel as clear and stress-free as possible. I want students to leave lessons feeling more confident about the subject and knowing exactly what they need to work on next. Lessons are always adapted to the student. We can work on theory, programming, algorithms, exam-style questions, revision, or simply spend time going over a topic that hasn't fully clicked yet. I like to explain things step by step and at the student's pace, then use examples and practice questions to make sure they genuinely understand it. Since taking my GCSE, I've continued studying Computer Science at university, including programming, algorithms, computer systems, cybersecurity, machine learning and software development. I also prepare lessons around the current AQA specification and exam requirements. Whether you want to catch up, improve your exam technique, raise your grade or simply feel more confident with Computer Science, I'm happy to help.

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Our students evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 2 reviews.

“ Fantastic! Ilias really prepared well and took the time to understand what my son needed. He was very positive and encouraging and we look forward to the next lesson! ”

To ensure the quality of our Computer Programming teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 2 reviews.