Data Mining Algorithms Training Course

From 19 Fr /h

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

Extra information

Online with explanations using simple examples that can be applied using Excel.

Location

Online from Palestine

About Me

A scientist and researcher specializing in mathematics and computer science.
A seasoned mathematics teacher, specializing in explaining, simplifying, and developing curricula based on scientific and research foundations.
A researcher specializing in designing and developing aptitude tests and thinking and analytical skills for students.
A part-time trainer and lecturer specializing in training courses in mathematics, statistics, financial mathematics, computer science, data science, systems analysis, database design and development, and data mining algorithms.

Education

Bachelor of Science degree in Mathematics and Computer Science from Ain Shams University in Cairo, 1991. He also holds other professional degrees, a Master's degree and a PhD in Computer Science specializing in Business Intelligence.

Experience / Qualifications

Over 30 years of experience in teaching mathematics, computer science, programming, systems analysis, data mining, and interdisciplinary research. Founder and director of the Interdisciplinary Research and Studies Center and its affiliated testing center.

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

The class is taught in

Arabic

English

Skills

Computer programming

Database

Algorithms

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

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Do you want to learn programming but don't know where to start? Are you a beginner looking for clear explanations, or do you want to improve your coding skills with personalized support?

This private tutoring program is designed to help you master Python, one of the most versatile and easy-to-learn programming languages. Through a step-by-step approach, interactive exercises, and hands-on projects, you'll gain the confidence and skills to write code effectively and solve real-world problems.

💡 Why Choose this Program?
With these personalized courses, you will:
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🚀 Learn at your own pace – Whether you’re a complete beginner or want to refine your skills, lessons adapt to your level.
🎯 Master the fundamentals – Understand key concepts like variables, loops, functions, and object-oriented programming.
🏗️ Complete hands-on projects – Work on real-world coding exercises, from simple scripts to mini-apps.
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This interactive, hands-on learning experience ensures you understand Python while having fun coding!

📚 What Will You Learn?
This program covers everything you need to become comfortable with programming in Python:

✅ Python Basics (Great for Beginners)
Introduction to Python and installation of the development environment 🖥️
Variables, data types and user input 🔢
Operators and expressions 🧮
Conditional structures (if-else) and loops (for, while) 🔄
Writing and calling functions 🏗️
🚀 Intermediate Concepts (To Go Further)
Lists, Tuples, Dictionaries – Understanding Data Structures 📊
File Management – Reading and Writing Files 📄
Exception Handling – Making Your Code More Robust ⚠️
Introduction to modules and libraries 🏛️
🎯 Advanced Concepts (For the More Ambitious)
Object-Oriented Programming (OOP) – Classes, Objects, Inheritance 🏗️
Recursion and algorithm design 🧠
API and Web – Connecting Python to the web 🌐
Introduction to Databases – Storing and Retrieving Data 🗄️
🎨 Practical Projects & Applications
Creating simple games 🎮
Automation of repetitive tasks 🔄
Data analysis with pandas 📊
Web scraping and working with APIs 🌍
Introduction to Artificial Intelligence and Machine Learning 🤖 (optional for advanced learners)
🎯 An Interactive and Fun Learning Experience
Live Online Classes – Learn from home with interactive sessions via screen sharing.
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Practical exercises and projects – Less theory, more practice! Learn with real-world examples.
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o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
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o Different database systems
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o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

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🎯 Training Objectives

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Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
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Mastering this, the prototype, and the instantiation logic
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Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
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Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
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7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
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11. Data Encapsulation
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12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

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a solid understanding of OOP
a cleaner and more professional code
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✈️ Former ENAC Airline Pilot Cadet
🧑‍💼 State Engineer in Electronics, Electrical & Telecommunications
🧑‍🏫+10 Years of Distance Learning +7000 Hours of Courses Taught
⭐ Co-Founder of www.Mathssansfrontieres.com
📚 Specializing in preparation for Baccalaureate/Rheto/Brevet/CE1D exams.
🌍 Proficiency in the following programs: 🇫🇷, 🇧🇪, 🇨🇭, 🇨🇦, 🇲🇦, 🇦🇪
📅 Available from 8 AM to 11 PM, with the possibility of adapting to multiple time zones.
♾️ If I am more than 5 minutes late, the session is free.

At 33, I proudly wear the hats of engineer and former ENAC cadet pilot. But my favorite role is that of a passionate teacher!

My educational journey, marked by steady progress from elementary to high school, taught me a valuable lesson: simplicity is the key to understanding. Inspired by Einstein's words, I strive to explain complex concepts with such clarity that even a child could grasp them. This pedagogical approach is at the heart of my teaching method.

The goal is to demystify and break down the lessons so that my students can, in turn, teach them with ease. My passion for mathematics, strengthened by over 10,000 hours of experience, naturally led me to teaching this discipline.

My personal quest is fulfillment through my daily activities. My career began in engineering before I ventured into piloting with the best flight school in Europe, ENAC. However, it was in distance learning that I discovered a true passion. This mobility allows me to teach from all corners of the world (Indonesia, France, Morocco, etc.) and to undertake assignments in Japan, India, Vietnam, Sri Lanka, and elsewhere, all while staying connected with my students.

The gratitude of parents, witnessing their children's progress, is invaluable. I greatly appreciate the friendly relationship I cultivate with my students.

Our courses transcend traditional subjects, embracing sports, cinema, manga, video games... I strive to create a relaxed atmosphere where learning becomes a pleasure, thus making the concept of time secondary.

🚨 Places available for October-November 2026: 4 places remaining :)

⭐ Tutor with the most positive feedback at GoStudent for the year 2023 & 2025