Python is a prime programming language used for web development, data analysis, etc., so it has become a highly demanded-programming language. However, it is tough to learn without any assistance or extra guidance. That is why we have included in this list the 10 best online Python classes. Every course matters the most, irrespective of your budget and learning style.

1. Coursera - Python for Everybody Specialization by the University of Michigan

The course offered by the University of Michigan is self-paced and takes eight months to finish. Therefore, it is also one of the 10 best online Python classes in the list. Five parts are presented therein: Python data structures, Structured Query Language (SQL), and others. The whole course process can be audited at an accessible price, though to get a certificate of completion, you’ll need to buy the entire program. This course can be availed in the package of Coursera Plus, or it standalone costs $49 /month. If you have any device, you can proceed at your own pace; however, a “hands-on project” will be required to get certified.

Price: It is free to audit and US$49 for enrollment per month

Time to complete: 8 months

Flexible schedule: Yes

Prerequisites required: No

Who should enroll in this course?

This will also be a good choice for students who wish to take a Python course entirely online. They can also audit the course for free, which even those with no previous programming experience can take.

2. Codecademy - Analyze Data with Python

Codecademy uses the “gamification” approach, just like Duolingo, for language learning. You’ll do all your learning by engaging with interactive classmates and projects instead of just video lectures. This is among the list of 10 best online Python classes. With Python programming, you will be able to create plots that show the data and its meaning. And, of course, you’ll be able to apply your A/B testing skills to real-life business scenarios, such as a food start-up and a shoe store, by the end of this knowledge block.

Price: Basic: Free (No Certificate), Pro: US$15.99 monthly

Time to complete: 10 weeks

Prerequisites required: No

Flexible schedule: Yes

Who is the course intended for?

The course is created for those who want to “move beyond Excel” and write more complicated Python codes for data analysis and statistical testing.

3. Udemy - Learn Python 3.6 for Total Beginners

This course from Udemy is tailored to Python 3.6 and contains 39 video lectures that last around seven hours. The first lesson involves installing the Jupyter Notebook, and then you’ll continue to learn about data structures, loops, functions, and other topics. Seven quizzes are also included to check whether you understand the material. It has a rating of 4.4 stars out of 5 based on over 4,000 reviews and is taught by an experienced instructor who holds a master’s degree in financial mathematics.

Price: Free

Time to complete: 6 hours and 42 minutes

Prerequisites required: No

Flexible schedule: Yes

For whom is this course?

The course is intended for beginners who are new to Python but is also appropriate for those who already know another programming language.

4. Udemy- Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

This is among the list of 10 best online Python classes.  This course is not for people who have no Python background since you are expected to have some coding experience. The idea is to prepare you for deep learning and data science. It directly addresses the Numpy Stack, which will be needed if you want to go deeper into machine learning by taking the following courses. Additional topics discussed include Pandas, Scipy, and Matplotlib.

Price: US$19.99 (with Udemy for business subscription)

Time to complete: Five hours and fifty-four minutes

Prerequisites required: Yes

Flexible schedule: Yes

Who should the course be designed for?

This course is suitable for professionals with applied or beginner-level Python experience who want to learn Numpy Stack to become eligible for advanced machine learning and data science courses.

5. Udemy - Python from Beginner to Intermediate in 30 min

Even during your Python course, which is for beginners, you most perhaps do not know enough to follow the advanced courses. “Python from Beginner to Intermediate in 30 min”, available on Udemy, will answer all your questions about advanced Python programming in a very short time, thus corresponding to your eagerness to develop new skills and go beyond the basics. The 30 lecture videos for this course cover modules and functions, conditions, loops, object-oriented, and file processing.

Price: Free

Time to complete: 1.04 hours and 32 minutes

Prerequisites required: No

Flexible schedule: Yes

Who is this training designed for?

This course is for those who have already mastered the idea and worked with the Python programming language but who still need to understand more.

6. Udacity - Introduction to Python Programming

The course from Udacity entitled “How to “solve practical problems” with Python” will teach you how to manipulate information stored in a computer using Python and covers topics such as data storage, conditionals, and loops, the Python Standard Library, and other libraries where you can find third-party modules. The curriculum covers the basics, and the full course can be completed in five weeks. You have control over the pace, topped with interactive mini-quizzes to keep you alert at all times. It steers you into your next course, for example, the Data Analyst Nanodegree program.

Price: Free

Time to complete: On average, a period shall usually last for 5 weeks

Prerequisites required: Yes

Flexible schedule: Yes

Who should take this course?

This course is designed for beginners in Python who have previous programming experience.

7. Udemy - Introduction to Python Programming

This “quick and easy intro” is a good basic tutorial for students who are beginning in Python programming. It is free and takes less than two hours to complete; however, you won’t have a certificate upon completion. The course will teach you to compose scripts and functions, even if you have never programmed before. The course contains 15 video lectures of approximately five to 10 minutes each that are presented by Avinash Jain, who is a student of U.C. Berkeley and is the founder of TheCodex educational platform.

Price: Free

Time to complete: 1 hour 39 minutes

Prerequisites required: No

Flexible schedule: Yes

Who is it for?

This course is suitable for those who want to explore the foundations of Python without tackling complex issues.

8. Codecademy - Learn Python 3

This Python 3 - Introduction course in Codecademy covers all the basics of Python 3, including Python syntax, control flow, booleans, and logical operators. During this section, there will be two optional code challenges that you can complete to see how well you're mastering the topic. With our Pro account, you will also have access to a few other project templates, such as ASCII art and a Magic 8-Ball project that you can show off to your friends or prospective employers.

Price: Basic: Free (No Certificate), Pro: US$15.99 billed monthly

Time to complete: 30 hrs

Prerequisites required: No

Flexible schedule: Yes

Who is this course for?

This is the course to take if you are a beginner, like hands-on experience, and are interested in building practical skills that you can add to your resume.

9. edX - Introduction to Python Programming by the Georgia Institute of Technology

This course belongs to the Georgia Institute of Technology, and so this is one of the most academic options on this list. The whole curriculum delivers four classes for Python basics, control & data structures, algorithms, and so on. You will be taught by professional instructors using videos and practice. There is no official requirement, but it is better if you have the fundamentals of math, including high school algebra. The course is five months long, and you have to choose a session start date to enroll in the program.

Price: Open to audit (enrollment at US$536)

Time to complete: 5 months

Prerequisites required: No

Flexible schedule: Yes

Who should take this course?

It is for beginners, and if you want to follow a more university-level syllabus with guidance from professionals, it is perfect.

10. DataCamp - Introduction to Python

This module deals with data analysis, which is constituted of four parts, including 11 videos and 57 exercises. The first two sections will be free, including Python Basics, and the subsequent sections require a DataCamp subscription. In this unit, you will be manipulating data from MLB baseball and FIFA soccer in order to visualize the material in a more exciting and relevant way. Apart from that, you will be able to utilize the Numpy Python library to perform more complex data analyses.

Price: Free

Time to complete: 4 hours

Prerequisites required: No

Flexible schedule: Yes

Who should consider taking this course?

It is designed for users who are not necessarily looking for the formal and structured approach of a traditional classroom lecture and who may find it boring.

FAQs

Can I master Python within 20 days?

Learning Python in 20 days may be courageous but also practical! Begin with fundamentals such as variables, data types, and control structure modules. Utilize online tutorials, coding exercises, and problem-solving. Endeavor to embrace the idea of comprehension as opposed to regurgitation. Leverage tools like interactive coding tools, books, and videos.

Can I find a good job with Python?

We would hardly say that you can find a job that will only allow you to "do Python." Python is just one of the essential components for web developers, DevOps engineers, data scientists, and many more. You can use Python on the job, but being skillful with the language isn’t all you’ll need to know.

Is there any Python career choice on the rise?

Python, for Data Science and Analytics

Given that companies are growing more and more dependent on data-driven reporting and decision-making, there is a high demand for Python programmers specializing in data science and analytics. Individuals fluent in Python and its data science libraries will have a competitive advantage and are ready to make the most of this opportunity in 2024.