The best online Python courses make it simple and easy to learn, develop, and advancing your programming skills.
Python is one of the most popular high-level, general-purpose programming languages. Named after the comedy troupe Monty Python, the language has a user-friendly syntax that makes it very appealing to beginners. It’s also very flexible and scalable, and has a very vibrant, global community of users.
Thanks to its rich set of tools and libraries you can use Python for just about anything -- from web development and data analysis to artificial intelligence and scientific computing.
According to the TIOBE Index, Python is currently the most popular programming language in the world. In fact, Python is used in some form or the other in virtually all major tech companies around the world, which makes it one of the top-most demanded skills.
So whether you are new to Python or to programming itself, here are some of the best Python online courses to help you get to grips with the language.
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Skillshare offers several Python tutorials aimed at beginners, but very few are as comprehensive as Programming in Python for Beginners. The Instructor has designed the course with the assumption that the students have absolutely no clue about programming. He’ll help you get started by setting up your Python development environment in Windows, before explaining all the basic constructs in the language and when to use them.
The course is made up of over 70 lessons for a total runtime of over 11 hours. The lessons will help you learn how the various arithmetic, logical and relational operators work and understand when to use lists, collections, tuples, dictionaries. The primer on functions is pretty usable as it shows you how to avoid common mistakes. The course also touches on some advanced topics like measuring the performance of your code to help write efficient code. There’s an exercise after every few lessons that’ll challenge you to put the newly acquired skills to solve a problem.
Note however that the Polish instructor has an accent, which didn’t bother us but your mileage may vary. Plus we liked the instructor’s engaging diction that made the course really interesting. He also actively engages with students in the discussions page on the course to clarify any doubts and share feedback on the exercises.
In terms of delivery, SkillShare has a rather vanilla player as compared to some of its peers. It does give you the ability to alter the play speed and add notes, but the lack of support for closed captions is disappointing. SkillShare offers a Free trial during which you can take any course in their library including this one.
Udemy offers a wide range of excellent courses, but their course, The Python Mega Course: Build 10 Real World Applications, will be especially good for those who know some Python already. As its name suggests, the course teaches you how to build 10 practical apps using Python, from simple database query apps to web and desktop apps to data visualization dashboard, and more.
The instructor uses the Visual Studio Code IDE in the course that has over 250 videos divided into 33 sections. The first 8 sections cover the fundamentals of Python and another four cover advanced topics before you get to coding the 10 examples in the remainder of the course.
Many of the example apps are preceded by a section or two that teach the crucial elements in the example. For instance, before you build a desktop database app, you’ll learn how to use the Tkinter library to build GUIs and also how Python interacts with databases, particularly, SQLite, PostgreSQL and MySQL. The video lessons are supplemented by coding exercises and quizzes, and there’s also a Q&A section to post your questions to the instructor.
You can pay for the course once on Udemy to get lifetime access. The instructor regularly updates the course and once you’ve bought the course you’ll get these modifications for free. The learning experience is further enhanced by Udemy’s player, which is one of the best in the game. In addition to altering the playback speed, it’ll help you place bookmarks in the lectures.
To help you find areas of interest, it’ll also display popular locations bookmarked by other students. You also get closed captions in over a dozen languages and can even view an auto-scrolling transcript of the lessons. Furthermore, Udemy’s smartphone app has the option to download a lesson to the device for offline viewing.
LinkedIn Learning offers a great range of professional development courses, and the course, Advance your career with Python, is no different.
This course is designed for someone who has limited time and it’s ideal for you if you want a fast paced introduction to Python. The instructor uses the Anaconda distribution of Python and writes code in Jupyter Notebook. She doesn’t skip over any of the building blocks of the language and her lessons are nicely paced and well illustrated.
The good thing about the course is that instead of straightaway diving into coding a construct, which many fast-paced introductory courses do, the instructor begins each lesson by explaining the construct and its use. The course ends with a quick introduction to object-oriented programming.
LinkedIn Learning’s video player supports closed captions and you can also get a transcript for the course that you can use to jump into the lecture. The service also offers a free 1-month trial, which should be more than enough to take this course.
Coursera is another of our favorite online learning resources, and their Principles of Computing is a good course to expand your coding skills with Python. It's presented in two-parts and is offered by Rice University as part of the Fundamentals of Computing Specialization, which has a total of seven courses. The courses divide the lessons across several weeks, each of which has multiple video lectures, readings, practice exercises, homework quizzes, and assignments.
They are conducted by three Computer Science faculty members of Rice University and will upgrade your basic Python skills to help you think like a computer scientist. The courses introduce mathematical and computational principles, and how you can integrate them to solve complex problems, to enable you to write good code.
Coursera has a nice video player that offers closed captions and transcripts. You can also take notes at any point during the video lecture. Best of all you can download the video lectures in MP4 format as well as the subtitles and transcripts for offline viewing. You can audit the courses for free or earn a specialization certificate by subscribing to the service.
edX provides an excellent range of free-to-access courses, and their Analyzing Data with Python course could be a great way for those with some Python coding skills to really break out into the wider field of data science.
This course equips you with all the skills you need to crunch raw data into meaningful information using Python, and will familiarize you with Python’s data analysis libraries including Pandas, NumPy, SciPy, and scikit-learn.
The self-paced course is divided into five modules with the sixth being the final assignment. Each module begins with a summary of the concepts that it’ll impart before it introduces the libraries and how they’re used to achieve the specified objective. There are quizzes and lab exercises to help you put the newly acquired knowledge to use.
The videos have closed captions as well as English transcripts that you can use to jump into the video. The course is conducted by IBM and requires you to put in 2-4 hours a week for five weeks. You can get a verified certificate if you score over the specified minimum marks for the various exercises and quizzes.
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