Python is one of the most popular programming languages today.
Its popularity is majorly down to how easy it is to learn as well as the wide variety of industries and applications where it is used. Python skills come in handy no matter if you’d like to become a data scientist, web developer, or if you simply want to improve your workflow with automation.
If you’re finding it hard to execute real-world data analytics projects for your business due to huge volumes and poor quality of data, web scraping with Python offers a simple and reliable option to understand market conditions.
Whatever way you’d like to put Python to work for you, your journey should start at the best Python courses online to help you master the language.
In this article, I’ll take you through the best online Python courses and tutorials for developers in 2023 to help you achieve your business and career goals.
Let’s get started.
Often the challenge is finding a course which is good at theory and practice content. This course targets both the aspect very well. It will get you started with everything important to know:
Isn’t it a great combo of textual lessons, lecture videos, and several code exercises!
Some programming background into another language will help you enjoy it more. However I would recommend to take it with a readiness to google around stuff you find a bit tricky to understand.
If you’re unfamiliar, Google also provides a fantastic series of Python lessons for beginners, known as Google’s Python class. This is a free class for those interested in learning Python who have some programming expertise. The course offers textual lessons, lecture videos, and several code exercises to help students practice Python coding.
The initial tasks introduce basic Python concepts like strings and lists before progressing to entire programmes that deal with text files, processes, and http connections.
Many of Google’s projects are written in Python. And, within Google, these resources are commonly used to teach Python to those who are new to coding or have limited programming expertise.
The best aspect about this content is that it includes lecture recordings that can be seen on YouTube. As a result, you won’t require any more accounts. It also teaches you how to create your own Python development environment, which can be difficult at first but is beneficial in the long run.
The google developers python class materials are well-organized. They teach you ideas and syntax before putting you to the test by giving you problem sets to solve.
Perfect for folks who have never programmed before
This is a free course for anyone who wish to learn Python and have some programming expertise.
Well-balanced theoretical and practical content
The course comprises textual materials, lecture videos, and a large number of code exercises to help students practise Python programming. These resources are used by Google to teach Python to those who have just a basic understanding of programming.
You must have some programming experience
While the classes cover the fundamentals of Python, prior programming experience is required to begin studying from Google’s Python class.
Coursera is the finest website to go to if you want to study from the world’s best colleges without spending a dime. It provides online courses from prestigious universities such as Stanford, INSEAD, NUS (National University of Singapore), and others.
You can audit this course for free and also financial aid is available which means if you ask for it explaining your financial status, you would most likely get it. Especially students use this aid often as having limited pocket money to spend more on education.
No doubt this is well structured courses and beginner friendly.
If you are a person of commitment and stick to one course, I would encourage you to go with this course. The length of the course can be intimidating. But if you stick to completion, you will come out way more proficient in python.
This course will start from the beginning and teach you Python 3. As you will discover throughout the course, you do not need any prior programming knowledge. More than 850,000 students have previously participated in this course and learnt how to programme, and now it’s your turn.
All of the courses are free-to-audit, which means that you may enroll and study for free. However, you will not be able to participate in assignments or tests until you pay, and you will not receive any certification until you do.
If you want all of that as well as accreditation, you’ll have to pay for Specialization. If you can afford it and enjoy the course, go ahead and sign up; it’ll be well worth your time and money.
Beginner-Friendly
Are you a total novice who has never programmed and may have studied a field unrelated to programming?
So, yes, this course is still for you! At start, programming is intimidating. There appears to be so much to learn, and common knowledge isn’t going to cut it.
Well-Structured
This is a very well-structured Specialization.
The Specialization’s Length
While some may regard it as a chance to learn as much as possible, it must be noted that specialization takes time to complete. It is not a two-week course that can be finished in a short amount of time.
A single professor will instruct the whole specialization
Another disadvantage is that only one professor is assigned to teach the whole specialization. Having several professors to educate you allows you to hear a variety of perspectives on the subject you’re studying, making it easier to form your own opinion.
Corey Shafer on Youtube:
There are 143 videos in his playlist for Python, the last time I checked. This is one source that you will never regret spending time on. If you like the style, he is just one click away from you on your phone!
If you are a beginner, it might be a bit of struggle to follow him as you get advanced topics mixed in your playlist.
Also being Youtube, be vigilant of the Ads distracting you and hampering your learning curve.
However, you will get to know what are the important topics in python to look for.
Subscribers: 679k
Corey Schafer began his YouTube channel in 2006 and covers a variety of programming languages and frameworks, with a primary concentration on Python.
For programmers of all skill levels, Corey’s channel is jam-packed with convenient tutorials and walkthroughs. Beginners will discover everything they need to get started with Python, from setting up their programming environment to lessons on the many beginning topics.
The best part about Corey’s videos is that once you’ve mastered the fundamental ideas of Python, you’ll find plenty other tutorials on his channel to put your newfound knowledge to the test.
JavaScript, SQL, and Django are some of the other programming languages and frameworks for which he has tutorials on his channel. You’ll also discover lessons for several helpful Python libraries for Data Science, such as Pandas for data crunching and Matplotlib for visualizations, as well as an explanation of commonly used programming words and some career advice.
Channel Link: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g
It isn’t only for beginners
Unlike other lessons, which just cover the basics, he includes advanced topics.
Excellent topic selection
He has a large library of videos on many Python topics for beginners, intermediates, and experienced learners.
Not for Python newbies
Before watching his tutorials, you need have a basic grasp of Python. He addresses fundamental things, yet they go beyond that.
Intuition based learning is the style of these videos. If you are someone who need to understand why of everything to accept , this is it. Now, as a consequence, you need to know a few concepts of Computer Science or background in another programming language to get a grasp of everything.
Subscribers: 2.85M
freeCodeCamp.org is a well-known YouTube channel with a large following of programmers. Quincy Larson founded this channel in 2014** with the goal of making programmers more accessible and affordable to everyone without charging a penny.
FreeCodeCamp is now one of the greatest resources for learning a variety of programming languages, including Python.
In addition to providing Python training for complete beginners, freeCodeCamp also provides Python-related video courses for projects in the Deep Learning and Data Analysis fields.
JavaScript, Python, HTML, CSS, Machine Learning, Data Analysis, and more are among the programming languages and fields covered by freeCodeCamp’s extensive array of valuable online lessons and practice resources.
Channel Link: https://www.youtube.com/c/Freecodecamp
Crystal Clear Teaching Style
He has a unique and engaging teaching style.
Intuitive Thoughts
He used Intuitive Ideas to explain difficult topics.
Basic Knowledge Required
Before watching his tutorials, you should have a basic understanding of programming.
If you’d like to learn both Python 3 and Python 2 and tap into the possibilities that each has to offer, then this Bootcamp is a great choice.
Some course benefits include:
This course may not be suitable if you’d like to learn data analytics with Python, because there are few examples in this regard. Overall, it is the best Python course online for a smooth introduction to Python, and many of the programming concepts you’ll learn make it easy to comfortably transition into data science.
From data retrieval to visualization, this specialization will show you all you need to know about using Python to work with data.
Course highlights include:
It’s notable though that the assignments often overreach the subject areas covered. However, it is recommended that you take this course along with the textbook it references called “Python for Everybody” to supplement this knowledge gap.
Then this is one of the best Python courses to get you started.
The course covers:
You may run into problems when configuring Python in the VS code editor. The source of this problem typically traces down to outdated versions, so using the latest stable version of VS code should fix this.
Would you like to understand the key machine learning concepts?
This course comes with the bonus of also learning R programming, all for the same value of a single tutorial.
Other course benefits include:
However, the dataset sets used in this course are quite simple and do not accurately reflect the complex data sets we encounter in real life. Nevertheless, this is the best Python course online for a good introduction to basic data science principles in R and Python.
Learning automation is key for success in the new age of IT, and this course helps you thrive in modern work environments in the following ways:
This 6-course specialization by Google covers a lot of ground quickly and may be overwhelming for beginners. Even so, it discusses important IT concepts for an entry-level IT role and you can learn at your own pace.
Do you have trouble writing efficient Python scripts?
If so, this course will show you a better way to do it with less work involved. The class covers:
The Komodo IDE is no longer supported and may not work well on the latest versions of macOS and Windows. Fortunately, the instructor also tackles PyCharm and even recommends it over Komodo. Both are covered in detail so you can choose to use PyCharm as a more stable development environment.
Are boring, repetitive tasks clogging up your workflow?
Then you may want to tap into one of the best Python courses on Udemy to automate these chores.
By the end of this course, you’ll be able to:
However, the course doesn’t receive the best support so you may find the Q&A section a little unhelpful. Even so, everything is well laid out and you won’t have much trouble keeping up.
As far as Python 3 tutorials go, this specialization is as good as it gets to quickly progress from beginner to expert.
Some course highlights include:
The final course of the specialization feels rushed, and as such, the final assignment isn’t well explained. Overall, the specialization is still one of the best Python courses online for learning Python 3 as it offers a nice balance of theory and practical work.
This 10-part Python specialization offers the training you need to prepare for that data scientist role you desire.
Some class highlights encompass.
Unfortunately, some of the courses in the specialization don’t offer reliable support to learners. Regardless, it ranks among the best Python Courses as you’ll still be able to get technical assistance from the discussion forum.
For a 2-in-1, high-value tutorial on Python 3 and 2 for machine learning and data science, you could try out this Python masterclass.
Some course benefits include:
The examples given are quite lengthy and may feel a little drawn out. Even so, you get to learn the important theory behind the code as opposed to only focusing on coding without logic.
Do you need to learn Python fast?
If you’re pressed for time, maybe you have an upcoming data science interview and would like to learn or refresh your Python knowledge quickly, then this may be the course for you.
The class covers:
The downside is that you’ll need to do quite a bit of self-learning in this course, as it tests some intermediate-level topics not covered in the syllabus. However, there’s nothing too complex that a simple internet search can’t fix.
Are you preparing for a technical interview?
This course packs tips on handling common data structure questions in interviews, as well as other important concepts in Python programming as a whole.
You’ll get to learn about:
With 13 courses in this learning path, this may not be ideal if you have a part-time job and would like a quick crash course. However, if you have the time to spare, it is the best Python course on LinkedIn Learning to make you a fully-fledged Python developer.
Would you like an ultra-modern Python course?
Then this may be it. The tutorial teaches you programming via Python 3.10, giving you skills to take you well into 2023.
It is one of the best Python courses online because:
Unfortunately, lecture codes are not provided in lecture notes so you might spend a bit of time recreating the codes during the lesson. The benefit to that is you get lots of type-as-you-practice sessions as opposed to simply copying and pasting from code templates.
For important data analysis skills, this 5-course Python specialization will give you new insights into your data.
Some course highlights include:
The specialization is great overall except for a few challenges in the course on “Applied Text Mining.” Some concepts are covered superficially and the course structure needs improvement. That said, it is one of the best Python courses on Coursera for intermediate learners who’d like to focus on more advanced topics.
With excellent instructor support to hold your hand throughout, this is the best Python course on LinkedIn Learning for complete beginners.
You’ll get to:
There seems to be a problem in the discount calculation exercise under the topic “Instance methods and attributes.” However, it’s important to note that the exercise is a demonstration of the theoretical concept rather than the math behind it so it still achieves the learning objective.
Are you interested in Python 2 or Python 3?
While Python 3 is usually the go-to choice due to it being up to date, many companies today rely on legacy systems that still use Python 2. It is for this reason that it’s important to consider the Complete Python Bootcamp From Zero to Hero in Python in light of such work environments.
On the other hand, you may be keen on exclusive Python 3 training.
If that’s the case, the Python for Everybody Specialization may be the best way to go. It’ll show you the basics of Python 3, all the way to advanced concepts like working with SQL databases using Python.
Beyond these two factors, you can still find many other great tutorials from some of the best online Python courses and tutorials for developers in 2023 we’ve looked at today.