One of the most popular programming languages, Python is noted for its clarity and simple syntax. Python developers rely significantly on a wide range of frameworks and a robust ecosystem. Python programmers who are self-taught frequently come across a piece of code on GitHub or websites like stack overflow that makes them uncomfortable about how the code works. Even seasoned programmers occasionally struggle to learn new Python tricks because Python is a flexible language with an infinite number of possibilities. Python online classes assist them in resolving this issue. Beginners sometimes find it difficult to understand the language on their own. The best online python courses offer clear instructions along with a practical assignment to make language comprehension simple. The top 10 online Python courses for beginners in 2023 are listed in the article.
University of Michigan’s Python for Everyone Specialization on Coursera
The University of Michigan offers this course, which is the most thorough on the list of introductory Python online courses and takes eight months to finish. It is divided into five sections that cover a variety of topics, including SQL and Python data structures. The course is free to audit, but there is a fee to complete the programme and receive a certificate of completion. With Coursera Plus, you may access this course for free, or you can pay $49 per month to access it separately.
Python 3 training at Codecademy
This Codecademy course covers the foundational concepts of Python 3, such as its syntax, control flow, boolean variables, and logical operators. Two extra code tasks that you can take part in along the route will let you gauge how well you comprehend the material. You can utilise a Pro membership to access a variety of portfolio projects, like ASCII art and a Magic 8-Ball project, to showcase your skills to friends and possible employers. This 30-hour training has been successfully completed by workers from companies including IBM and NASA.
Python Programming Overview at Udemy
This “quick and easy beginning” course is excellent for people who want a basic introduction to Python programming. It costs nothing and takes under two hours to do, but you won’t get a certificate of completion. You will discover how to write scripts and functions even if you have no prior experience with programming. The course is composed of 15 five to ten-minute video lectures. The teacher is U.C. Berkeley student and TheCodex educational platform inventor Avinash Jain. One of the greatest online Python courses for beginners is this one.
Python 3.6 for Complete Beginners Course on Udemy
This course’s 39 video lessons, which concentrate on Python 3.6, can be watched in less than seven hours. You’ll investigate topics like data structures, loops, functions, and more after learning how to set up a Jupyter Notebook. Along the way, seven interactive exercises are included to make sure you comprehend the ideas. It is instructed by a seasoned expert with a master’s degree in financial mathematics, has over 4,000 reviews, and an average rating of four stars. It is one of the greatest online courses for learning Python for beginners.
Python introduction at DataCamp
The four portions of this data analysis-focused course each have 11 videos and 57 tasks. The first course, Python Basics, is free to access; however, a DataCamp subscription is required for the other sections. You’ll work with datasets from MLB baseball and FIFA soccer to make the subject more interesting and relatable for you. Additionally, you’ll learn how to conduct extensive data analysis using the Python NumPy module. The four-hour course is taught by a professional data scientist who also does stand-up comedy and serves as the host of the DataCamp podcast.
Georgia Tech’s introduction to Python programming is available on edX.
Because it is offered at the Georgia Institute of Technology, this course is among the most intellectual options on our list. The curriculum consists of four courses that cover a variety of subjects, such as control and data structures, algorithms, and more. Professional instructors will train you through video courses and exercises. There are no formal qualifications, but high school algebra and basic math are recommended. In order to enrol in the course, which has a five-month completion time, you must select a session start date.
Python: From Novice to Advanced in 30 Minutes at Udemy
Even after finishing a Python course for beginners, you might not have enough knowledge to keep up with an advanced course. The “Python from Beginner to Intermediate in 30 min” course from Udemy can assist in fast bridging the gap between fundamental and intermediate Python coding knowledge. The 30 video lessons in this course go over subjects including files handling, conditional statements, loop statements, conditional statements and looping, modules and functions, sequences and slicing, and object-oriented programming.
Prerequisites for Deep Learning: The Numpy Stack in Python (V2+) at Udemy
This course is not for complete Python rookies as it assumes some coding skills and is intended to prepare you for studying deep learning and data science. Before enrolling in more challenging courses, you should be comfortable with the Numpy Stack, which is the subject of this course. In addition, topics like Pandas, Scipy, and Matplotlib are covered. This course requires knowledge of matrix algebra and the basics of Python coding. If you’re unclear whether you’re ready, you may check out the “Machine Learning and AI Prerequisite Roadmap” to determine what courses to take in what order. This course is a component of Udemy for Business, a website that businesses like Lyft and Adidas use to teach their employees.
Python Programming Overview at Udacity
In this Python course, which also covers topics like data storage, conditionals, and loops, you will learn how to “handle practical situations.” You will also be exposed to the Python Standard Library and additional libraries that support third-party modules. Beginners might anticipate finishing the course in five weeks or less. You may move through it at your own pace and there are interactive quizzes to keep you engaged. It prepares you for subsequent courses, such as the Data Analyst Nanodegree programme.
Python Data Analysis at Codecademy
Codecademy is recognised for “gamifying” the process of learning to code, much like Duolingo does for learning languages. You won’t only watch video lectures; you’ll also complete projects and interactive activities. You will learn how to visualise and analyse data sets, including statistics, using Python programming in this course. Additionally, you’ll learn how to run A/B tests on real-world business scenarios like a fledgling food business and a shoe store. Data visualisation with Matplotlib and Python technologies like NumPy and Pandas are among the additional topics.
