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Discover the Best Private Database Classes in Brussels

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9 database teachers in Brussels

Students' Choice

Adam

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4.8

26 reviews

(26)

£32

60-min

/h

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1Students

Python, Java, and SQL Programming – University, Engineering Schools & Career ChangeTranslate this text using Google Translate.

Python, Java, and SQL Programming – University, Engineering Schools & Career ChangeTranslate this text using Google Translate.

Learning to program is not just about writing code. It's about learning to analyze a problem, construct a line of reasoning, and develop effective solutions. For over 35 years, I have been supporting university students, engineering school students and adults retraining in learning computer science and programming. Whether you are a beginner or preparing for an exam, a university project or a technical interview, I adapt to your level and your objectives. Subjects taught Python Java SQL and databases Algorithmic Data structures Object-oriented programming (OOP) Program design and debugging What we work on together Understanding fundamental concepts rather than memorizing code. Develop a problem-solving method. Correct and improve your programs. Prepare for practical work, projects and exams. Acquire good programming practices used in higher education and in business. A pedagogy based on practice Each session alternates between explanations, demonstrations, and exercises. We write, test, and debug the code together so that you understand not only how to program, but more importantly, why a solution works. When it's helpful, I also show you how to use programming assistance tools thoughtfully, including AI-powered assistants. The goal isn't to let AI program for you, but to teach you how to verify, understand, and improve the solutions it provides. Session Procedure 60-minute session Ideal for solving a specific problem, understanding a difficult concept, or correcting a program. 90-minute session Recommended for a university project, a complete refresher course or exam preparation. My commitment My goal is for you to gradually become independent. At the end of each session, you should be able to understand your code, explain your choices, and continue your work with greater confidence. I will be happy to support you in your progress, whatever your starting level.

Mustafa

£18

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 (according to my book published on Google Books), 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

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Our students from Brussels evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Brussels to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 59 reviews.

I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼

I was able to get 20 out of 20 from my Excel exam in university, thanks to our classes with Mr Salah. I had 0 knowledge on excel before but after learning and exercising with Mr Salah, I got the maximum grade on my exam. Finally now, I really feel confident about my Excel knowledge, all thanks to Mr Salah. I would really recommend it to anyone who has problems with Excel.

Sanyam, is very good at teaching. He explain in different ways so that I can understand it.

To ensure the quality of our Database teachers, we ask our students from Brussels to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 59 reviews.

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