Angela Yu Python Course Review: My Honest Thoughts

If you’re interested in learning Python, then you’ve probably heard of Angela Yu’s Python course on Udemy.

With over 823,810 learners enrolled and a 4.7/5 rating after 187K+ reviews, Angela Yu’s Python course is one of the most popular online courses for learning Python.

In this article, we’ll take a closer look at Angela Yu’s Python course and review it to help you decide if it’s the right course for you.

We’ll cover the course structure, the topics covered, and the pros and cons of the course. By the end of this article, you’ll have a better understanding of what to expect from Angela Yu’s Python course and whether it’s worth your time and money.

About Angela Yu

If you’re interested in learning Python, you’ve probably come across Angela Yu’s name. Angela Yu is a programmer, entrepreneur, and educator who has taught over 1 million students how to code. She is the founder of the London App Brewery, which offers coding courses and boot camps.

Angela Yu is known for her engaging teaching style and her ability to make complex concepts easy to understand. She has a degree in Computer Science from the University of Cambridge and has worked as a software developer for companies like HSBC and Morgan Stanley.

Angela’s Udemy course, “100 Days of Code – The Complete Python Pro Bootcamp for 2021,” is one of the most popular Python courses on the platform. It has over 500,000 students enrolled and an average rating of 4.7 out of 5 stars.

In addition to her Python course, Angela has also created courses on web development, iOS development, and more. She is a popular instructor on Udemy and has received high praise from her students for her clear explanations and engaging teaching style.

Course Overview

If you are interested in learning Python, Angela Yu’s course on Udemy, “100 Days of Code – The Complete Python Pro Bootcamp for 2023” is a great place to start. In this section, we will provide an overview of the course content and structure.

Course Content

The course covers a wide range of topics, from the basics of Python programming to advanced concepts like data science and machine learning. Here is a brief overview of the topics covered in the course:

Python basics: data types, variables, operators, and control flow
Functions, modules, and libraries
Object-oriented programming
Web development with Flask
Data science with pandas and NumPy
Machine learning with sci-kit-learn
Automation with Selenium and BeautifulSoup
Game development with Pygame

The course also includes several real-world projects that will help you apply what you have learned. Some of the projects include building a web scraper, creating a chatbot, and developing a machine learning model.

Course Structure

The course is structured around a 100-day challenge, where you will spend at least an hour each day learning and practicing Python. Each day, you will receive a new video tutorial that covers a specific topic. The videos are well-organized, easy to follow, and provide clear explanations of the concepts.

In addition to the video tutorials, the course includes quizzes, coding exercises, and projects to help you reinforce your learning. The exercises and projects are challenging but manageable, and they provide a good balance of theory and practice.

Overall, the course is well-structured and provides a comprehensive introduction to Python programming. Whether you are a beginner or an experienced programmer, you will find something useful in this course.

Pros

If you are looking for a comprehensive Python course that covers the basics and advanced topics, Angela Yu’s Python course is a great option. Here are some of the pros of this course:

Structured learning: The course is well-structured and takes a step-by-step approach to teaching Python. Each day builds on the previous one, and by the end of the course, you will have a solid understanding of Python programming.
Real-world examples: Angela Yu uses real-world examples to explain concepts, making it easier to understand how Python can be applied in different scenarios.
Interactive: The course is interactive, with quizzes and coding challenges that allow you to put what you’ve learned into practice.
Lifetime access: Once you purchase the course, you have lifetime access to the content, so you can revisit the material whenever you want.

Cons

While there are many benefits to Angela Yu’s Python course, there are also some potential drawbacks to consider:

Web-centric: Some learners have noted that the course is web-centric, with a focus on web development rather than other applications of Python. There needs to be more focus on OOP (object-oriented programming).
Not for absolute programming beginners: While the course is suitable for beginners, it may not be the best option for those who have never coded before. Some prior programming experience may be helpful to keep up with the pace of the course.
Lacks a community: the course doesn’t include a community for students.

Overall, Angela Yu’s Python course is a solid option for those looking to learn Python in a structured and interactive way. However, there may be better fits for some, so it’s important to consider the pros and cons before making a decision.

Comparison to Other Python Courses

If you are looking for a comprehensive Python course, you might be wondering how Angela Yu’s Python course compares to other courses available online.

In this section, we will compare Angela Yu’s Python course to the Complete Python Developer in 2023: Zero to Mastery course.

Complete Python Developer in 2023: Zero to Mastery

The Complete Python Developer in 2023: Zero to Mastery course is another popular Python course available online.

This course is designed to teach you how to build real-world applications using Python. The course covers a wide range of topics, including Python basics, web development, data science, and machine learning.

One of the main differences between Angela Yu’s Python course and the Complete Python Developer in 2023: Zero to Mastery course is the teaching style.

While Angela Yu’s course is more focused on hands-on coding exercises, the Zero to Mastery course takes a more theoretical approach. The course includes a lot of lectures and explanations that cover the underlying concepts of Python.

But it does include a lot of real-world applications and exercises. And it is more suitable for complete newbies.

In terms of course content, both courses cover similar topics, such as Python basics, web development, and data science. However, the Zero to Mastery course goes more in-depth into each topic and covers advanced topics like machine learning and artificial intelligence.

One key difference is that Zero to Mastery gives you access to a private discord community. And you can find an accountability buddy in the community to pair with.

In contrast to Angela Yu’s Python course, Zero to Mastery makes learning fun and challenging.

Overall, if you are on a budget, then you should go for Angela Yu’s “100 Days of Python”. But if you are looking for a course that offers a better learning experience, go for Zero to Mastery “Complete Python Developer”.

Why I Recommend Zero to Mastery Python Course

If you are looking for a comprehensive Python course that can take you from a beginner to a professional level, then the Zero to Mastery Python Course is an excellent choice. Here are a few reasons why I recommend this course:

Structured curriculum: The course is well-structured, and the curriculum is designed to take you from the basics of Python to advanced topics. You will start with the fundamentals of Python and gradually move on to more complex topics like Object-Oriented Programming, Function Programming, and Machine Learning.
Real-world projects: The course includes 12+ real-world Python projects that you can work on. These projects are designed to help you apply the concepts you learn in the course to real-world scenarios. By the end of the course, you will have a portfolio of projects that you can showcase to potential employers.
Experienced instructor: Andrei Neagoie is an experienced instructor who has taught thousands of students. He has a passion for teaching and is dedicated to helping students learn
Community support: The course includes access to a community of learners who are also taking the course. This community is a great place to ask questions, get feedback on your projects, and connect with other learners.
Lifetime access: There is a lifetime plan that gets you lifetime access to the course materials. This means that you can go back and review the course content at any time, even after you have completed the course.