from12.85GBP/ h
"Python Fundamentals: Basics to Intermediate Concepts
Ready to dive into the world of coding? Join us in exploring Python, a fun and beginner-friendly programming language! 🐍 Whether you want to build cool projects, create games, or start a career in tech, Python is a great place to start. We’ll cover everything from writing your first lines of code to creating awesome programs. No experience needed—just bring your curiosity and enthusiasm! Let’s unlock the power of programming together and make something amazing. 💻✨
Ready to get started? Click here to join the adventure! 🚀
Ready to get started? Click here to join the adventure! 🚀
Extra information
Student must have his own laptopLocation
At student's location: Around Tunis, Tunisia






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General info
Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate |
Duration: | 60 minutes |
The class is taught in: | English, Arabic, French |
This course will teach you the basics of the Java language and object-oriented programming. You will discover fundamental concepts such as classes, objects, inheritance, and polymorphism. Through hands-on exercises, you will develop robust and scalable Java applications.
The Internet of Things (IoT) is transforming the way we interact with the digital world. This course guides you through the design and architecture of robust and scalable IoT systems. You will learn how to structure IoT solutions by integrating sensors, microcontrollers, communication protocols, and cloud platforms.
📌 What you will learn:
✅ The fundamental concepts of IoT architecture (sensors, actuators, edge computing, cloud)
✅ Communication protocols (MQTT, HTTP, CoAP, LoRaWAN, Zigbee)
✅ IoT data management (storage, processing, analysis)
✅ Security and scalability of IoT infrastructures
✅ Deploying IoT solutions on platforms like AWS IoT, Google Cloud IoT and Azure
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from £12.85At student's home
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since August 2024
- Google connected
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from £12.85At student's home
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Duration :
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General description
This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application.
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Educational objectives
At the end of the course, participants will be able to:
1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity.
2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs.
3. Solve problems by choosing appropriate data structures and algorithms.
4. Analyze and optimize the performance of algorithms.
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Course syllabus
1. Introduction (5-10 min)
- Presentation of the objectives and concepts covered.
- Importance of algorithms and data structures in computer science.
2. Fundamental concepts (20-30 min)
- Definitions and roles of algorithms and data structures.
- Temporal and spatial complexity: basic notions (Big O).
- Basic data structures: arrays, lists, and dictionaries.
3. Practical application and examples (30-40 min)
- Simple sorting implementation (insertion sort, bubble sort).
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- Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route).
4. Q&A and conclusion (5-10 min)
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- Suggestions for personal projects to apply the knowledge acquired.
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Teaching methodology
- Interactive learning: a combination of theoretical explanations and practical applications.
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Target audience
This course is aimed at:
- Computer science students wishing to strengthen their mastery of the basics before exams or projects.
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- Professionals preparing for technical interviews or seeking to improve their understanding of algorithms.
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Benefits of this online course
- Personalized support from an experienced trainer.
- Educational materials and practical exercises accessible after the session.
- Flexible hours to fit your schedule.
- Progressive approach to facilitate learning, even for beginners.
Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow!
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