Welcome to CodeWithDrZeeshanBhatti’s flagship Python course. Whether you’re stepping into programming for the first time or upgrading your skills, this 14-week journey will take you from foundation to real-world applications.

Why Python? Why This Course?

The Appeal of Python

Python is beloved by beginners and professionals alike. Its readable syntax, vibrant ecosystem, and versatility make it ideal for everything from web development to scientific computing, data science, artificial intelligence, automation, and more. Because of this, many companies (startups and giants alike) use Python in their tech stack.

Why This Course Stands Out

• Comprehensive, end-to-end: You won’t just learn syntax — you’ll build projects, solve real problems, and graduate with a portfolio.
• Guided learning: Weekly live Q&A, structured lab assignments, and supportive community feedback.
• Flexible delivery: Self-paced modules, lifetime access, bilingual lectures (Urdu/Hindi + English where beneficial).
• Certification + evaluation: You’ll be assessed with assignments, quizzes, and a final project.

I designed this course to bypass the “tutorial hell” trap: you won’t just watch videos — you’ll build, tinker, and iterate.

Course Description

Want to become an AI and Data Science Expert using Python? This 14-week comprehensive Python Programming course is designed to take you from absolute beginner to a professional level. Whether you are new to coding or want to enhance your programming skills, this course covers everything from Python basics, data structures, and object-oriented programming to advanced topics like AI, Machine Learning, and Data Science.

Course Snapshot

Why Join This Course?

✅ Self-Paced Learning – Study at your convenience.
✅ Step-by-Step Video Lessons – Learn Python in a structured way.
✅ Hands-on Coding Practice – Work on real-world coding exercises.
✅ Live Q&A Sessions – Get your doubts cleared in live discussions.
✅ Lab Manual & Notes – Access study materials via Google Classroom.
✅ Certification Upon Completion – Earn a professional certificate.
✅ Affordable Fee – Just 6000 Rs for the full course!

About the Course

✅ Duration: 15 Weeks (Self-Paced)
✅ Lectures per Week: 3 High-Quality Video Lessons (URDU/HINDI)
✅ Access: Lifetime Access to Course Materials
✅ Live Support: Weekly Q&A and Chat Sessions

📘 Course Material, Notes, Lab Manual via Google Classroom

📚 About the Course

👨‍🏫 Instructor: Dr. Zeeshan Bhatti
🌐 Mode: Online (Self-Paced)
📅 Duration: 15 Weeks
🎥 Video Lectures: 3 per week
📌 Live Q&A Sessions: Weekly
📜 Certificate: Yes (After course completion and assignments)

💰 COURSE FEES: Join Full Course for just 40USD or 8000/-PKR

What You’ll Learn (Detailed Outcomes)

By the end of this course, you should be able to:

1. Read, write, and understand idiomatic Python code.
2. Break problems into functions, classes, and modules.
3. Handle files, exceptions, and data input/output robustly.
4. Use data science libraries (NumPy, Pandas) to manipulate datasets.
5. Call and/or build web APIs using Flask.
6. Build a small data-driven Python project from scratch.
7. Understand fundamentals of machine learning and image processing.

Beyond those technical outcomes, you’ll build confidence in navigating your own path—if you want to go deeper in AI, web development, scripting, or automation, you’ll have a strong foundation.

Who Should Enroll?

This course is ideal for:

• Absolute beginners (no prior programming experience).
• Developers who know other languages but want to master Python.
• Students wanting to pivot into data science or AI.
• Professionals who want to automate tasks or build tools.
• Hobbyists with curiosity for computational thinking and code.

If you’re someone who learns by doing, and you don’t mind occasional struggle (that’s part of the fun), this course will serve you well.

How the Course Works (Logistics + Support)

Learning Format

Once you enroll, you get:

• Access to Google Classroom or a similar portal with recorded videos, notes, lab manuals.
• Weekly releases of lectures (3 per week) — you can watch anytime.
• Assignments and quizzes you must submit.
• A capstone project in the final weeks.

Support & Interaction

• Weekly live Q&A / discussion zoom sessions.
• Chat/forum community to share challenges, help each other, and collaborate.
• Feedback on assignments from me or teaching assistants.

Certification

To earn the certificate:

• You must submit all weekly assignments (or pass a threshold).
• Pass a small quiz or evaluation each module.
• Deliver a working final project (code + documentation).

Once done, I will issue a “CodeWithDrZeeshanBhatti Python Course Completion Certificate” (digital).

Tips for Success (From the Mentor)

• Code everyday (or almost daily). Even 20–30 minutes per day is better than cramming.
• Don’t skip “boring” basics. Many later problems stem from misunderstandings early.
• Experiment. After finishing a module, try extending lab tasks or building small side experiments.
• Seek error. Debugging teaches you more than writing code that works.
• Read other people’s code. GitHub, open source libraries — you’ll pick idioms, styles, tricks.
• Ask for help. Use forums, peers, or me — no shame in struggle.

Sample Weekly Schedule Template

Here’s a suggested weekly pacing template — adapt to your time constraints:

• Day 1: Watch first lecture + take notes
• Day 2: Watch second lecture, attempt exercises
• Day 3: Third lecture, start lab assignment
• Day 4–5: Finish lab assignment, submit
• Day 6: Quiz / small practice
• Day 7: Review, revisit tough topics, preview next week

If you fall behind, don’t panic — the self-paced model allows you to catch up, but consistency helps.

📅 Full Course Plan – Week by Week Roadmap

💻 Who Should Enroll?

✅ Anyone who wants to start a career in AI and Data Science
✅ Beginners with no prior coding experience
✅ Developers who want to learn Python programming
✅ Programmers looking to expand their skill set

🚀 Enroll Now & Start Your Journey!

🔗 WhatsApp: https://wa.me/c/923171311159

Have questions? Contact us at through Whatsapp https://wa.me/923171311159

Frequently Asked Questions (FAQ)

Q: I’m a complete beginner; will I struggle?
A: You’ll face moments of struggle (that’s how you learn). But the course is designed with scaffolding: foundational modules first, lots of practice, and support.

Q: Are there prerequisites?
A: Only basic computer literacy: using a PC, opening files, installing software. No prior programming required.

Q: What software do I need?
A: Python 3.x installed on your computer, an IDE (VS Code, PyCharm, or even a code editor), internet access for resources and API work.

Q: Do you provide job assistance?
A: This course is focused on skills, not direct job placement. But you’ll build a portfolio (final project) which you can present to potential employers.

Q: How long will I have access?
A: Lifetime access to lectures, notes, and resources. You can revisit any week at any time.

How to Enroll & Get Started

1. Contact via WhatsApp: +92 317 131 1159
2. Submit fee (6,000 PKR or 40 USD) via method we’ll share (bank transfer, mobile wallet, etc.)
3. Receive access to Google Classroom / portal
4. Kick off with Week 1 videos & materials

I recommend starting as soon as you enroll; momentum matters.

Wrapping Thoughts & Vision

Learning Python is less about mastering every library, and more about cultivating a programmer’s mindset: solve problems, break them into smaller parts, iterate, debug, reflect, and improve. This course is a structured launchpad — what you do beyond it (build, tinker, open source, side projects) will shape your growth.

Let this 14-week journey be the foundation for whatever you dream of building: data analytics tools, AI models, web applications, automation bots, or even your own startup. I’ll be your guide, peer, and problem solver.

If you’d like, I can also help you generate intermediate quizzes or code exercises to sprinkle in your content so that it’s even more robust. Do you want me to generate sample exercises for each week (with solutions) to embed in the blog?

About The Author

Dr. Zeeshan Bhatti

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