Learning Python is not as hard as it seems, especially when taught right. There is plenty of material available online, both free and paid. In this article, I want to introduce some of the best Python courses available online that you can buy for pretty inexpensive pricing.
I’ve done some research and put together a list of the top-quality Python courses available on Udemy. The following are the 7 best Udemy courses to learn Python, some of the greatest you can find online.
1. Complete Python Programmer Course
If you want to become a professional Python programmer and you’re looking for a comprehensive, in-depth course, The Complete Python Programmer Bootcamp seems like a nice option to get started with.
You will start with the core, fundamental stuff first and then make your way to sophisticated, elaborate projects and advanced coding techniques. The course essentially consists of two parts: material for beginners and Advanced Python.
In the beginning, you’re taught the basics of the Python programming language: loops, variables, functions, etc. Essential data structures like dictionaries and lists are well explained. The lessons often include references to computer science to give you a more profound understanding of the matter.
The Advanced Python part consists of several challenging tasks and interesting problems that you’ll have to complete. You will master stacks and the Tower of Hanoi, learn how to use Matplotlib, learn about Caesar Two Sum, solve the Cards and Coins problem. Finally, you’ll have a chance to build your own computer vision program.
Since the course is abundantly sprinkled with math references and advanced algorithms, it works best if you have some grasp of math or prior programming experience.
If you’ve already coded before and have familiarity with computer science, you will have no problem going through this course. Otherwise, some of the concepts might seem too complicated and confusing. The course is led by Giles McMullen-Klein, the man behind the YouTube channel called “Python Programmer”.
If you want to check out this course, click here to see more details.
2. Python For Data Science And Machine Learning Bootcamp
If you need Python specifically for data science and machine learning rather than generic tasks, this is for you. The course offers comprehensive coverage of machine learning and data analysis libraries, it teaches you the most common methods of data science and gives a practical foundation.
The main focus of the course lies on practical takeaways from statistics and math that you can bring to life using Python. There are exercises at the end of each lesson, along with solutions.
The number of libraries covered in the Python for Data Science and Machine Learning Bootcamp is pretty extensive. You will learn how to use Pandas, Seaborn, Spark, NumPy, Matplotlib, Plotly, SciKit-Learn, etc.
The practical application of random forest, decision trees, linear regression, K-Means clustering, vector machines, etc., are also covered in depth. The approach is pretty pragmatic, and you can apply the knowledge immediately.
While it is assumed you’re not new to programming, the package includes “Python Crash Course” just in case you’ve never used Python before. You can quickly familiarize yourself with the basics of Python and move on to data science and machine learning straight away.
If you’re interested in this course, click here to view the syllabus and more details.
3. Complete Python Bootcamp: Go From Zero To Hero In Python 3
Complete Python Bootcamp is a course designed to help you learn the fundamentals of Python and teach you how to implement your own projects even if you’re a complete beginner. Like in a real bootcamp, you will receive intense, rigorous training, learn a lot of new concepts, and build a solid understanding of Python programming from the ground up.
The course purposely stays noobie-friendly and doesn’t cover sophisticated topics like machine learning. But it does teach you exactly what it takes to become a programmer in a practical way. You will learn how to properly handle:
- Methods and functions
- Modules and packages
- Errors and exceptions
Besides, there’s a whole section on GUI. You will learn how to create programs with their own user interface using ipywidgets. This includes how to create layouts, how to interact with GUIs, and how to apply styling.
If you want to learn Python, you’ve got to practice. This course puts an emphasis on fun, engaging practice. As a practical exercise in learning Python, you will be suggested to finish capstone projects, which will solidify your new skills. You will learn how to create small but playable games, such as Blackjack and Tic Tac Toe. Perfect for an absolute beginner.
If you’re interested in this course, click here to check out the syllabus and find more details.
4. The Python Mega Course
The Python Mega Course is all about teaching you how to build useful, practical applications from the ground up, even if you’re new to programming. The course is very comprehensive and provides plenty of information throughout more than 100 lectures. But does not delve into confusing and complicated concepts, encouraging you to think of utility first.
Practice, practice and practice: The Python Mega Course is one of the most practical courses out there. It’s focused on building practical applications here and now, no matter what experience you’ve got. During the course, you will build 10 interesting real-world applications with real utility, not just some boring toy programs. Some of these include:
- A webcam app that can detect objects
- A website scraper
- An email sender
- A geocoding web app
Two-thirds of the lessons are dedicated to using Python for real-world tasks like above. In the first third of the course, you will be taught the basics of Python, including how to install it, basic operators, basic data structures, functions, exceptions, etc. Then the practical part begins, and you’ll learn how to connect your Python programs to the outside world.
Overall, this is a fun and engaging course for people with no prior knowledge of programming.
If you’re interested in it, click here to check out this course and view the syllabus.
5. Learning Python for Data Analysis and Visualization
If you’re already sufficiently familiar with Python and you want to delve into data analysis and visualization, there is no better course than this. It’s a comprehensive, step-by-step guide that includes hours of video with detailed explanations and extensive snippets of code that show you the best practices and which you can apply in your own projects.
A huge selection of example projects makes the material digestible and easy to follow.
Since in data science, you spend a lot of time manipulating arrays, the course makes heavy use of the numpy library. Numpy is the perfect choice for creating and manipulating arrays for data visualization. You will also be taught how to work with many useful data formats, such as JSON, HTML, Excel, etc.
Basic math skills are required for this course. In a separate section, you can brush up on statistics and probability distributions: uniform distribution, binomial distribution, etc., which is greatly required for data science.
This course is predominantly focused on data visualization and it will easily help you build a stunning portfolio of Python data analysis projects.
Click here to check out this course and learn more about it, if you’re interested.
6. Automate the Boring Stuff Video Course
If you regularly perform a lot of repetitive tasks on your computer, you can make your life easier by automating them with Python. Just imagine how much more productive you can become if you automate even a small portion of your monotonous routine.
In this course by Al Sweigart, you will learn all it takes even if you’ve never programmed before.
Compared to other Python courses, this course skips over a lot of advanced aspects of the Python language. It only focuses on task automation (which makes it easier in some respects).
The course is perfect for office workers, research workers, students, marketers, administrators, but also regular people who want to learn programming in a very practical way.
Apart from Python basics, in this course, you will learn the following:
- web scraping (fetching the contents of a web page and extracting data from it)
- parsing PDF and Microsoft Word documents
- generating and updating Excel spreadsheets
- recognizing patterns in a text using regular expressions
- programmatically controlling the mouse and keyboard
- automatically sending and receiving emails
If you’re interested, click here to check it out and learn more about the course.
7. The Modern Python 3 Bootcamp
As a series of many small, concise, and engaging lessons, The Modern Python 3 Bootcamp teaches you one thing at a time. You will not get bored as the lessons are fun and with a sense of humor.
The course features almost 200 short but effective exercises and quizzes throughout its whole length. This will let you learn new programming skills easier. It is particularly focused on the most modern and up-to-date practices of Python 3 so that you only get pragmatic knowledge.
The Modern Python 3 Bootcamp covers quite a lot. As a beginner, you will learn all the fundamentals, like using functions, modules, object-oriented programming, lists, data structures of sorts.
You’ll also pick a little bit of more advanced stuff like decorators, higher-order functions, lambdas. But then comes really fun stuff as the course explores many interesting, practical use cases.
You will learn how to create a web scraper that automatically crawls websites and scrapes content so that you can retrieve prices, messages, etc. from an HTML page.
You will also learn a bit about building games on Python, using regular expressions, and even SQL integration for creating database applications. There are close to 400 lectures in total, which makes it the longest course.
If you’re interested in this course, click here to check it out and learn more about it.
Udemy is an amazing platform, and these were some of the best Udemy courses to learn Python online, in my opinion. No matter what your current skills are, the right course is certainly in front of you.
So, check out these courses and see if any of these are perfect for you. Pick one of these and stick with it. Complete the full course and practical assignments and projects. You’ll be able to become a pretty good Python developer in a very short time.
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