Coding Education for Kids: Building Future Skills in a Simple and Interactive Way

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From 1.84 € /h

🧒💻 Programming for Kids: From Scratch to Python
An interactive program designed for children aged 7 to 14, it begins by teaching the basics of programming using the visual Scratch language, where children create interactive games and stories in a fun way. After mastering the basic concepts, the program moves on to teaching the Python language, allowing children to write real code and develop simple projects.

🎯 Program features:

Simplified and beginner-friendly instruction.

Practical projects enhance understanding and application.

Develop logical thinking and problem solving skills.

No prior programming experience required.

Join now to give your child a strong start in the world of technology.

Extra information

Bring your computer

Location

Online from Egypt

About Me

Simplified interactive content
Software games and challenges designed to suit children's abilities and stages of mental development.

Visual environments (Scratch, ) smooth the transition to Python

Coach's experience
Assistant Teacher and Trainer: I honed my skills in simplifying concepts and communicating effectively with students and their parents.

Data Analytics Trainer at the “Digital Egypt Pioneers” Initiative: I designed interactive workshops using Python, SQL, and data visualization tools.

Google Certified in Data Analytics and IBM Awards in Predictive Modeling

Teaching style
Adventure Learning: Turning Concepts into Exciting Stories and Games

Practical application: Each child programs a project that he can touch with his own hands.

Ongoing follow-up: weekly progress report and individual review session upon request

Target group
Ages 7–13, they are curious about hands-on learning.

They want to design their first games and apps.

Parents who aspire to develop their children's logical thinking and problem-solving skills.

Expected results
A final project that the child programs himself and proudly displays.

Gain a solid foundation in programming and logical thinking.

Education

Master of Business Analysis
I completed my Master’s degree in Business Analytics from University of Science Malaysia, Kuala Lumpur (Persekutuan Kuala Lumpur, Malaysia) from February 2022 to February 2023, graduating with a “Very Good” grade for my graduation project.

Bachelor of Economics and Politics (English Section)
I completed my Bachelor's degree in Economics and Politics at Beni Suef University in Egypt from September 2015 to May 2019, receiving a grade of "Very Good" with a "Very Good" GPA and an "Excellent" grade for my graduation project.

FinTech Track
I participated in the Digital Egypt Builders Initiative in Cairo from February 2022 to February 2023, where I delved into the concepts and applications of financial technology (FinTech).

Google Data Analytics Certification
I earned my Google Professional Certification in Data Analytics in 2024, mastering data cleaning, analysis, and visualization skills using SQL, R, and Tableau.

IBM Awards

Predictive Analytics Modeler Mastery Award in October 2022 for building predictive models and analyzing trends using SPSS Modeler and Watson Studio.

Business Intelligence Analyst Mastery Award in September 2022 for aggregating data from multiple sources and building reporting dashboards via Cognos Analytics.

“Basic Work Skills” Course
I completed 30 hours of training in personal and practical skills with Tatweer Education in Cairo in 2022.

Experience / Qualifications

Teaching Assistant - Mayo University (Department of Economics)
Work period: September 2021 – May 2023
As a teaching assistant in the Department of Economics at Mayo University, I provided direct academic support to faculty and students. I simplified complex economic theories through interactive review sessions, designed visual summaries, and presented presentations to support understanding. I also conducted training workshops for students to enhance their research and academic data analysis skills.

Data Analysis Trainer - Egypt Digital Pioneers Initiative
Working period: February 2022 - February 2023
I designed and implemented a series of interactive workshops on data analysis using Python, SQL, and data visualization tools (Tableau), aiming to train youth on transforming raw data into actionable insights. I supervised individual and group applied projects, and participants delivered final presentations that focused on using the acquired skills to solve real-world problems.

FinTech Intern – Digital Egypt Builders Initiative
Working period: February 2022 - February 2023
I launched my career in financial technology by participating in an intensive training program that included the study of fundamental FinTech concepts, including electronic payments, blockchain, and digital banking. I collaborated with multidisciplinary teams to develop prototypes for innovative financial applications.

Age

Preschool children (4-6 years old)

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Duration

60 minutes

90 minutes

The class is taught in

Arabic

English

Skills

Software engineering

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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<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques

<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib

Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

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Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions.

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Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python.

Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications.

Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code.

Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures.

Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively.

Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness.

Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more.

Why choose this course?

Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject.

Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts.

Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed.

Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more.

Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP.

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Graduate specializing in Computer Science: Benefit from my deep knowledge in the field of programming and computer science in general.
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