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Since May 2026
Instructor since May 2026
Python Programming for Data Analysis, Data Science and OOP
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From 159.86 CNY /h
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- Python Programming is currently the most utilized tool in the data analysis world. Its ease-of-use and wide variety of packages/libraries makes it a most valuable skill to have for a student wanting to get started in the world of data analysis and Object Oriented Programming.

- This course is geared towards beginners and intermediates who are interested in a hands-on approach to learning without neglecting the scientific background of the covered material, which will include the following:
* Introduction to Python Programming
* Understanding of OOP concepts and use-cases
* Crash course in statistical analysis concepts
* The usage of specified analysis libraries like Pandas and Numpy
* Introduction to Data science
* Neural Networks
Extra information
- Students should have their own PC/Laptop
Location
location type icon
Online from Germany
About Me
I am an Automation Software Engineer working and studying in Germany for Masters degree in Industrial IT and Automation.

I have experience in industrial settings as an Automation Engineer with focus on SPS programming and development of Software tools using python. I also have experience in research settings working on data analysis, database systems and programmable boards (Raspberry Pi/Arduino, etc)
Education
Bachelors' Degree in Electrical Power and Machines Engineering- Alexandria University, Egypt
Masters' Degree in Industrial Automation and IT- TH Koeln, Germany
Experience / Qualifications
- Automation Engineer- Soulintec Encon
*Creation and development of automation infrastructure with Programmable Logic Controllers (SPS) and SCADA systems.
- Working Student Software - Aptiv
*I was responsible for development, maintenance and modification of software tools that offer assistance to software lifecycle tracking and also for reporting and metrics purposes
- Research Assistant - TH Koeln
* Worked on multiple research projects that include Indoor farming, Computer vision and data processing for industrial inspection of transparent objects.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Duration
90 minutes
The class is taught in
English
Arabic
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
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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classical algorithms
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1st lesson is backed
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verified badge
Peace be upon you
I have the honor to offer you support and strengthening lessons in mathematics for all levels.
And for all ages.
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Geometry and angles - géométrie et les angles
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- trigonometry - calcule trigonométrique
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Calcul différentiel differential equations
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verified badge
Certified teacher, holding a Master's degree in Mathematics, with over 13 years of experience in teaching and academic support.

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Unlike traditional courses where an explanation is given followed by a single exercise, I propose:

Clear and structured explanation

Progressive exercise series

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Unit verification and conversions

Work on common mistakes


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---

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A marked improvement in their average

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verified badge
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Why Choose My Courses?

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

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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This course is designed for beginners, students, and future developers who want to build real Python projects while learning programming step by step.
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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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Apply encapsulation, inheritance, and polymorphism without confusion
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1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
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.
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Create multiple objects from the same model.
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What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
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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

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
verified badge
Python and algorithm courses designed for high school and university students wishing to improve their programming skills and succeed in their computer science studies.

The course allows you to:

understanding algorithmic logic,
learn to solve problems step by step,
mastering the basics of Python,
prepare for exams, assignments and projects
progress quickly with practical exercises tailored to the student's level.

We will be working on:

variables and types,
terms,
loops,
functions,
tables/lists,
classical algorithms
programming logic,
Exercises and detailed solutions.

A clear, progressive method suitable for beginners as well as students with difficulties in computer science.

Perfect for:

students in NSI (Digital Science and Technology),
high school students,
students in BTS/BUT/Bachelor's degree programs in computer science,
beginners in programming.

Courses available in French, English or Arabic.
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Good-fit Instructor Guarantee
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Contact Youssef