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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 33.07 C$ /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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Create and manipulate objects in JavaScript in a clean and efficient way
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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
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Why duplicating code is a bad idea.
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Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
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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.
14. Polymorphism
The same behavior, several forms.
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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.

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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
an ideal foundation for learning React, Node.js or any other modern framework
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Normed vector spaces: convergence of sequences, continuity and equivalence of norms.
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Solving nonlinear equations: bisection, Newton-Raphson and fixed-point methods.
Numerical integration: rectangle rule, trapezoidal rule and Simpson's rule.
Numerical matrix analysis: solving systems of equations (Gauss, LU, Cholesky), eigenvalue calculations and conditioning.
verified badge
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verified badge
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In my classes, you will learn not just theory, but practical, real-world skills that are actually used in the software industry. My goal is to make complex concepts simple, structured, and easy to understand, while keeping you consistently challenged without feeling overwhelmed.
verified badge
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Sprint planning
Retrospectives
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• Engineering Managers

Lessons are practical, personalised and based on your actual work situations rather than generic textbook exercises.

Whether you work with Java, Python, .NET, SAP, Cloud, AI, Data Engineering or any other technology stack, the goal is the same:

To help you communicate clearly, confidently and professionally in English.

Book a trial lesson and let's identify the communication skills that will have the biggest impact on your career.
Good-fit Instructor Guarantee
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