

Muhammad
- Rate R329
- Response 1h

R329/h
Unfortunately, this tutor is not available
- Computer Programming
- Python
- Programming Languages
Computer Science Student Teaches Python and AI Trading With Practical, Hands-On Approach Online
- Computer Programming
- Python
- Programming Languages
Lesson location
About Muhammad
Unlock the Power of AI and Trading with Expert Guidance Are you eager to learn Python, AI, and automated trading but don’t know where to start? I’m here to guide you with a structured, hands-on approach that makes complex topics simple and practical. As a Computer Science student with a strong focus on AI-driven trading, I specialize in teaching Python, quantitative risk management, and trading automation. My lessons are designed for beginners and intermediate learners, ensuring that you gain both theoretical knowledge and practical skills. Why Learn with Me? Step-by-Step Learning – No prior coding experience required! I break down complex concepts into easy-to-follow lessons. Real-World Applications – Learn how to apply AI in trading, build automation workflows, and improve decision-making. Personalized Guidance – One-on-one or small group sessions tailored to your goals. Interactive & Engaging – Live coding, problem-solving, and real trading scenarios.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +12
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
My Approach as a Tutor
Teaching Methods & Techniques
I focus on a practical, hands-on approach to teaching, ensuring students learn by doing. I use:
Project-Based Learning – Real-world projects like building a simple AI trading bot.
Step-by-Step Guidance – Breaking down complex concepts into easy-to-follow steps.
Interactive Sessions – Live coding, problem-solving, and Q&A to reinforce learning.
Customized Learning Paths – Tailoring lessons based on students' backgrounds and goals.
Typical Lesson Plan
Introduction (5-10 mins) – Overview of the topic with real-world applications.
Concept Explanation (15-20 mins) – Theory with examples, using visuals and analogies.
Hands-On Practice (30-40 mins) – Writing and debugging code, working on projects.
Discussion & Q&A (10 mins) – Addressing doubts and optimizing solutions.
Assignments & Next Steps – Small tasks to reinforce learning between sessions.
What Sets Me Apart
AI-Driven Trading Focus – Combining Python with AI for practical trading applications.
Beginner-Friendly – No prior programming knowledge required; I explain concepts in simple terms.
Updated Knowledge – Teaching industry-relevant tools and techniques like n8n automation.
Flexible & Personalized Learning – One-on-one or small group sessions tailored to individual needs.
Who the Lessons Are For?
Beginners & Intermediate Learners interested in Python, AI, and trading.
Students & Professionals looking to integrate AI into finance and trading.
Aspiring Traders who want to automate strategies and improve decision-making.
Rates
Rate
- R329
Package rates
- 5h: R1645
- 10h: R3290
online
- R329/h
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