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Python 3 Programming: Beginner to Pro Masterclass (Udemy.com)

Learn Python 3 with more than 100 Practical Exercises and 20 Hands-on Practical Projects

Created by: Prof. Ryan Ahmed, PhD, MBA

Last updated February 2025

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What you will learn

  • DIVE INTO PYTHON WORLD WITH PYTHON FUNDAMENTALS:
  • Variables and data types & Comparison operators
  • Logical Operators & Conditional statements (If-else)
  • For and while loops & Functions
  • Lists and list comprehensions
  • Dictionaries and dictionaries comprehensions
  • Lambdas and built-in functions & Modules & Maps and Filters
  • Processing csv files & Methods & Matplotlib
  • Pandas & Numpy & Seaborn
  • Use OpenCV applied on Video Stream to Draw Yourself

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Course Description

We are on a mission to create the most complete Python programming guide in the World.

From Python basics to techniques used by pros, this masterclass provides you with everything you need to start building and applying Python.

“Python Beginner to Pro Masterclass” is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package:

  1. First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.

  2. Next, build on your knowledge with a practical, applied and hands-on Python course with over 20 real-world applications problems and 100 coding exercises to help you learn in a practical, easy and fun way. These will be invaluable projects to showcase during future job interviews!

  3. Finally, push your boundaries with a data science and machine-learning course covering practical machine learning applications using Python. Dive into real-life situations and solve real-world challenges.


So, why is Python the golden programming language these days? And what makes it the best language to learn today?

Python ranks as the number one programming language in 2018 for five simple reasons that are bound to change the shape of your life and career:

(1)   Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.

(2)   High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.

(3)   Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.

(4)   Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.

(5)   Future-proof Career:  The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.


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Instructor Details

Prof. Ryan Ahmed, PhD, MBA

I'm Dr. Ryan Ahmed, professor, engineer, and founder of Stemplicity, where we help people get past the hype and actually build things with AI, Agentic AI, Cloud, and Data Science.

Over the past 10 years, I've taught 1 million learners across 160 countries — 700,000+ enrolled in my Udemy courses, 260,000+ subscribers on the "Prof. Ryan Ahmed" YouTube channel, and 120,000+ on Coursera. I also run corporate AI training for teams at HSBC, RBC, Discover, and Barclays across the US, Canada, and the UK. I held leadership roles at GM, Samsung, and Stellantis in Canada and the U.S., working on electric and autonomous vehicle technologies.

I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 60+ published research papers in AI and battery systems.

But credentials are the least interesting part. Here's what I actually believe: "AI is the biggest opportunity of our lifetime", and most people are sitting it out because they think they need to code or have a PhD. You don't. If you're willing to show up and try, I'll help you get good at this.

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Reviews

4.4

854 ratings on Udemy

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By Isabelle Sin on 8/1/2024

Overall: 3/5 Pros: A great introduction to python coding and jupyter notebook. Then the case studies and sections on machine learning provided a good overview of some of "what's possible". Cons: This course has not been properly updated since it was released. It took me *hours* to get everything installed, and once to the case studies and ML sections practically every single lesson contained code that was legacy/obsolete - didn't work. I had to work out how to fix the code: how to install alternate versions of packages, how to replace old versions of arguments and methods, etc. The sections on case studies and ML also didn't contain enough practical work for the student - watching others code isn't ideal. As a 'beginner/intro to python course' this was great, and is well worth the effort. The shear aggravation I had trying to make up for the obsolete code, and the lack of more involved examples is why this gets a 3/5.

By Michael West on 8/22/2020

Very detailed. If I could suggest an improvement, it would be to explain more of the operation of Jupyter notebooks (or perhaps I have overlooked it somewhere). Thank You. Peace.

By Mark Hilburger on 1/20/2020

Well done, but needs a little clean up. I had to supplement the material with a Python intro book to get it to stick in my head. Most of my programming experience has been with COBOL, dbase, and bash scripting. It was hard to get use to closing loops/conditionals with indentation. I wish you would have starting out with a crash course on what the colors mean when editing code.

By Geoffrey Payne on 6/22/2019

At times the course was very simple, and then it would get very challenging when looking at the machine learning. I found when I installed Jupyter I had picked up Python 2 instead of 3 - I do not know how - and it was quite hard to change this to version 3 afterwards. Some of the code did not run, I am wondering if it is because of this? Altogether this was just the course I needed and I hope to do another one to reinforce the course contents here. I do not know where else I could learn this at such a low cost.

By Esmond Burke on 6/7/2019

This course is awesome and full of real world examples. I also love the quizzes that and in course questions that are included in the video when the professor will ask you to pause video and attempt to a new concept. The only reason for the 1/2 stars, the course should have included real word projects that can deployed to a web server that other people can access. I.E. projects you can use to demonstrate what you have learned.

By Joy Weigand on 3/1/2019

The course was very helpful and the lectures informative and the professor was extremely friendly and presented the materials very well. Sometimes I got stuck in certain places and had questions that were not specifically answered. However, I am assuming that it was not possible to answer everyone's questions due to the sheer amount of other class participants. It might make sense to break this course down into two or three courses because it was far too much work. I had to stop and return. Then I forgot some things and had to review them. During this period, I lost motivation. It is far too much content for one course. I am an English native and have also taught English for over a decade, so please feel free to contact me with assistance in improving the content or if you would like group or private lessons in preparation for the next set of videos in order to avoid making the same grammatical errors. But, thanks very very much. I feel that through this course, I have mastered the basics of Python 3 Programming!

By Steve Maraj on 12/26/2018

This has been the best fundamental python course I have come across so far...The instructor has a good voice, not squeaky or loud, so you can follow along without getting bored and sleepy.

By Chris Digangi on 11/28/2018

I have updated my rating and increased it still in the beginner section and I like how he explains everything. Not my first python course. A big issue was the environment. The instructor, like many others doing python or machine learning courses tell you to download Anaconda and I'm no a Mac and had issues with the built in Python 2.7 and I could not get Anaconda to switch. Solution - Use Canopy it has everything already installed and adding packages is easy. So far so good. I'll update when I finish the course.

By Joao Paulo Rodrigues de Oliveira on 11/11/2018

Got kind of disappointed when noticed that the course was still incomplete, with some video classes missing. This should be said before buying the course. The rest was really good, congrats.

By Nikhil Pandya on 11/4/2018

I was expecting to refresh my basics and then go for more complex exercises, it is very well explained and demonstrated however the yellow round cursor in the display hides what is discussed, could be improved. Also one cannot memorise everything so how to remember from the troubleshooting point of view or what kind of job we would able to do after doing this course.

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Overall Score : 88 / 100