Python has become the default language for data science and machine learning projects in recent years. It is a great option for data analysts who want to experiment with massive amounts of data and create amazing data visualisations.
With hundreds of platforms and options online, it can be a little challenging to choose an online Python course that aligns with one’s requirements. This article features a list of the best Python courses online, along with key course details, to help aspirants choose a relevant course.
| Course | Platform | Duration | Rating |
| Python for Everybody Specialization | Coursera | 2 months | 4.8/5 |
| Introduction to Python Programming | Udemy | 1 hour 14 minutes | 4.4/5 |
| Learn Python for Total Beginners | Udemy | 5 hours 36 minutes | 4.3/5 |
| Deep Learning Prerequisites: The Numpy Stack in Python (V2+) | Udemy | 6 hours 12 minutes | 4.7/5 |
| Learn Python 3 | Codecademy | 25 hours | 4.6/5 |
| Intermediate Python | Udacity | 2 months | 4.5/5 |
| Python Essential Training | LinkedIn Learning | 4 hours 22 minutes | 4.8/5 |
| Crash Course on Python | Coursera | 22 hours | 4.8/5 |
| Python for Data Science and Machine Learning Bootcamp | Udemy | 24 hours 54 minutes | 4.6/5 |
| 100 Days of Code: The Complete Python Pro Bootcamp | Udemy | 57 hours 56 minutes | 4.7/5 |
1. Python for Everybody Specialization – Coursera
Coursera’s Python for Everybody Specialization is a 5-course series. Using the Python programming language, the course covers fundamental programming concepts including data structures, networked application program interfaces, and databases. The course is beginner-friendly and includes a capstone project in which students will design and create apps for data retrieval, processing, and visualization.
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2. Introduction to Python Programming – Udemy
It teaches all the basic concepts of Python including data types, variables and syntax, essential data structures and algorithms for problem-solving in Python, and proficiency in control flow and loops in Python. By the end of the course, the students will develop the skills to use IDE or text editor to write and run Python programs.
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3. Learn Python for Total Beginners – Udemy
Learn Python for Beginners course teaches how to install Jupyter Notebook IDE, use all of Jupyter Notebook’s essential capabilities, and variables and operators for comparison, string manipulation, slicing, and formatting Tuples, Lists, Dictionaries and control flow and how to manage text files. The course includes 5 brain-teasing exercises with the solutions.
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4. Deep Learning Prerequisites: The Numpy Stack in Python (V2+) – Udemy
Deep Learning Prerequisites: The Numpy Stack in Python (V2+) course on Udemy is a bestseller course. To enrol in this course, students must have prior experience with Numpy and should know about dot product, matrix inversion, and Gaussian probability distributions. The course focuses on understanding code using Numpy Stack, supervised machine learning using Scikit-Learn, and how to implement algorithms using Numpy, Scipy, Matplotlib, and Pandas. It also teaches the pros and cons of machine learning models including Deep Learning, Decision Trees, Random Forest, Linear Regression and Boosting.
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5. Learn Python 3 – Codecademy
Python is one of the most popular programming languages today which is both simple and easy to learn. The ‘Learn Python 3 Course’ by Codecademy covers all the fundamentals of Python. It includes control flow, lists, strings, loops, functions, dictionaries and code challenges of Python 3. Projects are also included in the program.
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6. Intermediate Python – Udacity
For this course, students must have a basic knowledge of Python and control flow. It is a nanodegree program that teaches how to use Python to streamline tasks such as file classification, data mining a webpage, and so on. Students will have a portfolio that demonstrates their ability to apply practitioner-level Python skills on the job by the end of the program.
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7. Python Essential Training – LinkedIn Learning
The course focuses on the fundamentals of Python, and how to install Python, pip, and Jupyter Notebook. It also teaches to examine the fundamental data types such as ints and floats, as well as Booleans and strings, how to interact with various file formats in Python and more.
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8. Crash Course on Python – Coursera
Crash Course on Python is a beginner-level course on Coursera. It is designed to teach how to use Python structures such as strings, lists and dictionaries, how to write Python scripts and create Python objects. By the end of this course, students will be able to write simple programs using Python, figure out how the building blocks of programming fit together and apply all of this knowledge to solve complicated programming problems.
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9. Python for Data Science and Machine Learning Bootcamp – Udemy
The course is designed for beginners and developers with some programming experience who want to explore the field of Data Science. It teaches how to use Python’s power to analyse data, create beautiful visualisations, and employ sophisticated machine learning techniques. Throughout the course, students will learn to use Pandas, SciKit-Learn, Spark, Numpy, Matplotlib, Plotly and more.
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10. 100 Days of Code: The Complete Python Pro Bootcamp – Udemy
100 Days of Code: The Complete Python Pro Bootcamp course by Udemy is one of the best-selling courses. It includes 100 unique projects for 100 days through which students will master the Python program and learn automation, Selenium, and Flask. It also teaches how to build GUIs and desktop applications.
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