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According to Stack Overflow’s annual Developer Survey (the largest survey of coders globally), Python is the fastest-growing programming language today. It’s the fourth most popular (after SQL, but before R), the second most loved one (right after Rust), and the most wanted one (meaning that developers that don’t yet use it want to learn it).
Python’s popularity isn’t surprising. It’s one of the easiest programming languages you can learn. It has simple, clean syntax (it was actually started as a side project by the Dutch programmer Guido van Rossum after he grew frustrated by the shortcomings of existing programming languages) and excellent library support. It’s also incredibly versatile — it’s used in data science, machine learning, web development, product development, and testing. You’ve likely seen Python at work without even realizing it. Wikipedia, Quora, and NASA are just a handful of organizations that use Python.
Because it’s so popular, the demand for Python developers far exceeds supply. At the time of writing, there are 54,964 Python jobs listed on Indeed.com and 51,167 on Glassdoor.com. And where there’s demand, there’s a lot of money to be made. The average Python developer salary in the U.S. is $120,000 a year. Even an entry-level Python developer can make a decent wage: $74,435 per year.
Regardless of whether you want to learn Python to grow your career or because you’ve heard that programming in Python is incredibly fun (it is), here’s a list of ten of the best Python courses to learn Python online.
These are the best Python courses you can take online:
- Best Overall: 2020 Complete Python Bootcamp: From Zero to Hero In Python (Udemy)
- Best for Beginners: Python for Everybody Specialization (Coursera)
- Best Free Course: Python 3: A Beginner’s Guide to Python Programming (Skillshare)
- Python Programmer (DataCamp)
- Python Fundamentals Skill Track (DataCamp
- AI Programming with Python (Udacity)
- Python and Django Full Stack Web Developer Bootcamp (Udemy)
- Programming for Everybody (Getting Started with Python) (edX)
- The Python Bible | Everything You Need to Program In Python (Udemy)
- Data Scientist with Python (DataCamp)
Best Overall: 2020 Complete Python Bootcamp: From Zero to Hero In Python (Udemy)
One of the most popular Udemy courses of the last several years.
Udemy’s 2020 Complete Python Bootcamp: From Zero to Hero In Python is a 22-course program. It covers more or less everything you need to know to get started with programming in Python, including concepts like functions, loops, and object-oriented programming.
The curriculum is taught via video lessons, readings, and coding exercises. Since every lecture has a corresponding code notebook maintained in Jupyter notebook format, students also learn the Jupyter system.
Included in the program are three milestone projects. These are fun but challenging, which means that you’ll likely need to Google a thing or two to complete them. That being said, every project comes with a solution section.
There are no prerequisites for enrolling in this program. You don’t even need to know how to code. Nevertheless, the program is fast-paced enough for intermediate developers, too.
There’s a reason why 2020 Complete Python Bootcamp: From Zero to Hero in Python is a top Python course. It offers full-lifetime access, course material that is updated almost monthly, and a certificate of completion. More than one million students have taken this program so far. Judging by their reviews, most of them loved it.
Best for Beginners: Python for Everybody Specialization (Coursera)
Python for Everybody lives up to its name: you don’t need to have any prior coding experience to enroll in it.
Offered by the University of Michigan and available on Coursera, Python for Everybody is hands down the best Python course for those who have no experience in any programming language. The course instructor, Professor Charles Severance, breaks down all the complex concepts you’re likely to encounter when programming in Python while providing plenty of fun exercises.
The program is divided into five courses. Professor Severance imparts his knowledge to students via video tutorials, readings, and practice exercises.
To pass each lesson, students must complete an auto-graded quiz and at least one peer-reviewed assignment. The course ends with a capstone section consisting of several projects.
This program suggests that you dedicate about three hours a week to learning Python, in which case you can finish all the courses in about eight months. However, according to past students, if you put your mind to it, you can complete the entire program in just a few days.
If learning coding seems like a daunting task to you, this Python tutorial is for you. Professor Severance makes learning Python so fun that one of his past students actually said that “each week feel[s] like an approachable game.”
Best Free Course: Python 3: A Beginner’s Guide to Python Programming (Skillshare)
If you’re a strong proponent of bite-sized learning, then Python 3: A Beginner’s Guide to Python Programming will be right up your street.
Great for beginners who might be short on time, Python 3: A Beginner’s Guide to Python Programming is an eight-hour course that walks you through some of the most important concepts in the Python 3 programming language, including variables, conditional tests, and dictionaries.
Although the course is made up of 131 video lessons, you’re unlikely to feel overwhelmed. That’s because each lesson is relatively short (the longest one is fifteen minutes long).
But what’s the point of learning something if you can’t put it into practice? Luckily, the course instructor, Tony Staunton, understands this, which is why he gives examples of where each code can be used in real-life situations.
He also periodically shares new projects and monthly challenges with his students. For example, in April this year, he posted a challenge that required students to build a text-based adventure game.
With Skillshare’s Python 3: A Beginner’s Guide to Python Programming, you can learn Python anytime, anywhere, on any device. No more staring out the window aimlessly on your commute! In just under eight hours, you’ll go from a complete newbie who doesn’t even know how to install Python to knowing how to create your own Python programs.
Python Programmer (DataCamp)
If the thought of choosing just one Python course is giving you a headache, you’ll love this career track that comprises 16 different Python courses.
The Python Programmer Career Track is a collection of 16 Python courses selected by industry professionals to help you grow your skills. The track starts with introductory courses that cover basic skills (i.e., the syntax of Python) and ends with more advanced topics.
Each course is broken down into three to five sections, which consist of smaller topics, or “chapters.” Every chapter has a short introductory video followed by a series of exercises that run in your browser and use real-world datasets.
When you complete an exercise, you gain experience points. You can use these points to see hints for any future exercises you may get stuck on. However, that probably won’t be necessary as all of the exercises come with skeleton code, which means that all you have to do is fill in the blanks.
There are no requirements for getting started with this career track. Because each course is four hours long, the entire track should take you about 62 hours to complete.
The Python Programmer Career Track will teach everyone something new, regardless of whether they’re a total beginner or an intermediate Python learner. Still not 100% sure whether this program is for you? You can try the first section of each course for free.
Python Fundamentals Skill Track (DataCamp)
Learn the basics of Python in just 15 hours with DataCamp’s Python Fundamentals Skill Track.
The Python Fundamentals Skill Track on DataCamp consists of four courses that are between three to four hours long, which means that you can gain the foundational skills you need to code in Python in just 15 hours.
The video lessons go over things like how to clean and prep data, use data visualization libraries such as NumPy, and write your own Python functions.
However, the best thing about this track (and other tracks and courses on DataCamp) is the user interface. It’s intuitive and easy to use, and the exercises (of which there are plenty) can be accomplished using the built-in Python console. As such, students don’t have to install any additional software, which is always a big plus.
Don’t worry about messing up when it comes to the exercises. This course doesn’t expect you to write your own code, at least not yet. Instead, you’ll need to fill in the blanks. If even that’s too difficult for you, you can ask for a hint or see the full answer.
DataCamp’s Python Fundamentals Skill Track does a great job of introducing the basic principles of Python. The goal here is not to turn you into an expert, but rather, to give you a taste of what you need to get started.
AI Programming with Python (Udacity)
Looking to dip your toes into the world of AI? With this top Python course, you’ll be building your own AI applications in no time.
The AI Programming with Python nanodegree on Udacity will give you a solid background in math, Python, and deep learning, which in turn will help you get started in the field of artificial intelligence or machine learning.
While the core focus of this nanodegree is on Python, you also get to study algebra, calculus, and neural networks.
There are two projects: one at the end of the first course (which involves using a pre-trained image classifier to identify dog breeds) and one at the end of the fifth course (where you build your own image classifier). Projects are graded by experienced reviewers who provide unlimited feedback.
Students that spend about 10 hours a week on this program can expect to finish it in about three months. Prerequisites are minimal: foundational algebra and coding knowledge in any programming language. However, note that while the lessons start at the beginner level, they accelerate quite quickly.
Although on the expensive side, this nanodegree has it all: custom study plans, real-world projects, and an active student community. Even better, the program also includes career support in the form of interview preparation, cover letter and resume services.
Python and Django Full Stack Web Developer Bootcamp (Udemy)
Ideal for those who want to learn core Django concepts but know little to nothing about web development.
Udemy’s Python and Django Full Stack Web Developer Bootcamp will show you how to build web applications with Python 3 and Django, a high-level Python web framework.
The lectures are a combination of video lessons, concept presentation slides, downloadable code notes, exercises, and reading assignments. The program also includes three projects, two of which focus on Django and give students real-world examples.
However, note that this program uses version 1 of Django. Because Django is currently on version 3, a few students found the Python tutorials a little confusing. That being said, most students didn’t seem to mind as the course instructor, the well-regarded Jose Portilla, explains where to find updated code in Django documentation. Moreover, the course notes are also clear and up to date.
If you’ve heard great things about Django but are new to coding, this course will bring you up to speed. Portilla is a superb teacher who explains every single concept clearly and concisely, which means that you’re never left in the dark.
Programming for Everybody (Getting Started with Python) (edX)
Professor Charles Severance proves that coding doesn’t have to be boring in this University of Michigan course available on edX.
Taught by Professor Charles Severance of the University of Michigan, Programming for Everybody (Getting Started with Python) is a five-chapter course available on edX. The course promises to teach you how to build a program from a series of straightforward instructions in Python while avoiding “all but the simplest mathematics.”
Since the course is based on chapters one to five of Professor Severance’s textbook, “Python for Everybody: Exploring Data Using Python 3,” students who enroll in this course automatically get access to a PDF version of this book (in addition to video lessons and assignments).
It’s evident that Professor Severance has a lot of experience working with first-time coders as he can predict the kind of mistakes they’re likely to make and the type of questions they’re likely to ask. Moreover, unlike some lecturers, he is fun to listen to, so there’s no chance that you’ll fall asleep while watching his Python tutorials.
Students that spend between two to four hours learning Python every week should have no trouble completing this course in about seven weeks.
There’s no doubt about it, Programming for Everybody (Getting Started with Python) is a superb Python tutorial for beginners. And it’s free to audit. However, you’ll need to upgrade to the premium version of the course for unlimited access and graded assignments.
The Python Bible | Everything You Need to Program In Python (Udemy)
LinkedIn’s R for Data Science: Lunchbreak Lessons course is brief and to the point. This makes it perfect for boosting your career even if you only have a few minutes to spare each day.
The Python Bible | Everything You Need to Program In Python (Udemy), is a 10-hour program that’s quick and to the point, moving from one topic to the next at a reasonable pace.
The course is made up of 11 sections, which are further divided into 74 lectures. The curriculum is taught mainly through video lessons, which cover some of the most crucial Python concepts like variables, logic and data structures, and object-oriented programming (OOP).
Video lessons aside, students also gain access to 4 articles, 3 downloadable resources, and 11 coding exercises. As you progress through the course, the exercises get more complex. Although the instructor has purposely left out solutions, to challenge students, you can ask for help via the Q&A section.
The Python Bible| Everything You Need to Program In Python is super easy to follow even if you’ve absolutely no coding knowledge. It helps that the instructor is encouraging and motivating, which means that you get to finish each lesson feeling like you’ve accomplished something significant.
Data Scientist with Python (DataCamp)
Enroll in DataCamp’s Data Scientist with Python to incrementally build your data science skills.
Kickstart your career in data science with DataCamp’s Data Scientist with Python, a career track that comprises as many as 23 courses curated by data science experts and taught by 16 instructors.
As you progress through the track, the courses increase in difficulty. So, if you already have some knowledge of Python, you can skip ahead to the more complex topics.
The really cool thing about this track is that it comes not only with short videos and interactive dashboard-based exercises but also plenty of projects. Some of them ask you to clean and visualize data, whereas others expect you to create your own machine learning models.
Since each course is between 3 and 4 hours long, you can get through the entire track in just under 90 hours (plus the time you’ll need to complete the projects).
Go from Python newbie to pro with DataCamp’s Data Scientist with Python career track. Learn not only how to clean and visualize data and use Python libraries like NumPy and Matplotlib but also how to use machine learning techniques to train decision trees.
The best way to learn Python online is to install Python on your laptop and start coding! However, if you’ve no idea where to start and would like a little direction, you should invest in a top Python course (we’ve rounded up ten of the best Python courses for 2020).
Most people find Python very easy to learn. It has an easy-to-understand syntax, is flexible, and has a large community. For this reason, Python is typically the first programming language that people who enter into the world of coding learn.
The main reason Python is worth learning is that it’s incredibly versatile. It’s used in scientific and numeric computing, web and software development, and building e-commerce systems.