Are you interested in learning Python?
Imagine what you can program using Python language after learning from some of the best Python courses on Coursera.
Maybe build up some of the top famous websites like:
… and many other top rated apps in the whole globe.
Python is one of the most popular high-level, general-purpose programming languages.
It was named after the comedy troupe Monty Python. The language has a user-friendly syntax that makes it very appealing to beginners.
As a matter of fact, it’s also very flexible, 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.
So whether you are new to Python or to programming itself, here are some of the best Python courses on Coursera to help you get to grips with the language.
But before we proceed any further, If you are looking for some of the best courses for Data Science, you should check out my other article where I reviewed the Best Coursera Courses For Data Science.
So let’s get to it.
Here are quick links to some of these courses on Coursera…
|1. Programming for Everybody (Getting Started with Python)||1, 727, 225|
|2. Python Data Structures||586, 572|
|3. Introduction to Data Science in Python||488, 813|
|4. Using Python to Access Web Data||397, 650|
|5. Using Databases with Python||289, 156|
|6. Python for Data Science and AI||214, 178|
|7. Learn to Program: The Fundamentals||205, 389|
|8. Python Basics||172, 737|
|9. Machine Learning with Python||157, 810|
|10. Data Analysis with Python||136, 191|
|11. Python Programming: A Concise Introduction||121, 790|
Here is a detailed summary of what you’ll learn in each of these Python courses on Coursera.
We’ll look at what each course is about, what you’ll be able to do after the course as well as the requirements and skill level you need to have before starting any of these courses
This best selling Python course on Coursera aims to teach you, and everyone else the basics of programming computers using Python.
The instructors cover the basics of how one constructs a program from a series of simple instructions in Python.
Furthermore, this course has no prerequisites and avoids all but the simplest mathematics.
Uniquely, anyone with moderate computer experience should be able to master the materials in this course.
This course will cover Chapters 1-5 of the textbook “Python for Everybody”.
And by the end of this course, you will be ready to take more advanced programming courses.
This course covers Python 3.
Rating: 4.8 stars (155,512 ratings).
Students Enrolled: 1, 727, 225.
Duration: 19 hours.
Subtitles: Arabic, Chinese (Simplified), Korean, German, English.
This Python course on Coursera will introduce the core data structures of the Python programming language.
Then, you will move past the basics of procedural programming… and explore how you can use the Python built-in data structures such as:
… to perform increasingly complex data analysis.
This course will cover Chapters 6-10 of the textbook “Python for Everybody”.
The course covers Python 3.
Rating: 4.9 stars (72, 084 ratings).
Students Enrolled: 586, 572.
Duration: 19 hours.
Subtitles: English, Korean, Arabic.
This Python course will introduce you to the basics of the python programming environment. Including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the NumPy library.
The course will present data manipulation and cleaning techniques using the popular python pandas data science library.
And also present the abstraction of the Series together with DataFrame as the central data structures for data analysis…
Along with tutorials on how to use functions such as GroupBy, merge, and pivot tables effectively.
By the end of this course, you will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analysis.
This best Python course on Coursera should be taken before any of the other Applied Data Science with Python courses:
- Applied Plotting
- Charting & Data Representation in Python
- Applied Machine Learning in Python
- Text Mining in Python Applied
- Applied Social Network Analysis in Python
Rating: 4.5 stars (21, 338 ratings).
Students Enrolled: 488, 813.
Duration: 16 hours.
Subtitles: Chinese (Traditional), Portuguese (Brazilian), Vietnamese, Korean, English, Hebrew
This Python course on Coursera will show you how one can treat the Internet as a source of data.
You will scrape, parse, and read web data as well as access data using web APIs.
In addition, you will also work with HTML, XML, and JSON data formats in Python.
This top Python course on Coursera will cover Chapters 11-13 of the textbook “Python for Everybody”.
In fact to succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization.
These topics include:
- Variables and expression
- Conditional execution (loops, branching, and try/except)
- Python data structures (strings, lists, dictionaries, and tuples)
- Manipulating files
This course covers Python 3.
Rating: 4.8 stars (35, 321 ratings).
Students Enrolled: 397, 650.
Duration: 19 hours.
Subtitles: English, Korean.
This Python course on Coursera will introduce you to the basics of the Structured Query Language (SQL). As well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.
The course will use SQLite3 as its database.
Moreover, you will also build web crawlers, multi-step data gathering, and visualization processes.
You will use the D3.js library to do basic data visualization.
This course will cover Chapters 14-15 of the book “Python for Everybody”.
And to succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization.
This course covers Python 3.
Rating: 4.8 star. (17, 645 ratings).
Students Enrolled: 289, 156.
Subtitles: English, Korean.
Did you know that behind every mouse click and touch-screen tap, there is a computer program that makes things happen?
Well, this Python course on Coursera introduces the fundamental building blocks of programming.
And also teaches you how to write fun and useful programs using the Python language.
Rating: 4.7 (4, 491 ratings).
Students Enrolled: 205, 389.
Duration: 25 hours.
Subtitles: Italian, Vietnamese, English, Kazakh, Persian.
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
In fact, this is the reason why it appears in this list of the best Python courses on Coursera.
No prior programming experience necessary!
You will learn Python fundamentals, including:
- Data structures and data analysis
- Complete hands-on exercises throughout the course modules
- Create a final project to demonstrate your new skills
By the end of this course Python course on Coursera, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python.
You’ll also gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
Rating: 4.6 stars (18, 303 ratings).
Students Enrolled: 214, 178.
Duration: 27 hours.
Subtitles: Vietnamese, Korean, German, English, Persian.
This Python course dives into the basics of machine learning using an approachable, and well-known programming language, Python.
In this course, you will be reviewing two main components:
First, you will be learning about the purpose of Machine Learning and where it applies to the real world.
Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
In this best selling Python course on Coursera, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!
By just putting in a few hours a week for the next few weeks, this is what you’ll get.
- New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy
- New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.
- A certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon the successful completion of the course.
Rating: 4.7 (9, 541 ratings).
Students Enrolled: 157, 810.
Duration: 22 hours.
Subtitles: English, Vietnamese.
This Python course on Coursera introduces the basics of Python 3, including conditional execution and iteration as control structures, strings, and lists as data structures.
You’ll program an on-screen Turtle to draw pretty pictures.
But that’s not all you’ll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills.
The course has no prerequisites.
It will cover Chapters 1-9 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
The course is for you if you’re a newcomer to Python programming, if you need a refresher on Python basics…
Or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.
This is the first of five courses in the Python 3 Programming Specialization.
Rating: 4.8 stars (9,612 ratings).
Students Enrolled: 172, 737.
Duration: 36 hours
Subtitles: English, Vietnamese, Korean.
Do you want to learn how to analyze data using Python?
This course on Coursera for Python will take you from the basics of Python to exploring many different types of data.
You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
Topics covered in this course are:
- Importing Datasets
- Cleaning the Data
- Data frame manipulation
- Summarizing the Data
- Building machine learning Regression models
- Building data pipelines
This course, Data Analysis with Python will be delivered through lectures, labs, and assignments. It includes the following parts:
Data Analysis libraries: you will learn to use Pandas, Numpy, and Scipy libraries to work with a sample dataset.
Additionally, the instructors will also introduce you to panda, an open-source library, and you will use it to load, manipulate, analyze, and visualize cool datasets.
Then, the instructors will furthermore present you to another open-source library, sci-kit learn, and you will use some of its machine learning algorithms to build smart models and make cool predictions.
If you choose to take this best Python course on Coursera and earn the Coursera course certificate, you will also earn an IBM digital badge.
Rating: 4.7 stars (11, 820 ratings).
Students Enrolled: 136, 191.
Duration: 24 hours.
Subtitles: Arabic, Vietnamese, Korean, Turkish, English.
The goal of this course is to introduce you to Python Version 3.x programming using hands-on instruction.
This Pyhton course will show you how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs.
The approach will be to present an example followed by a small exercise where you try something similar to solidify a concept.
And at the end of each module, there will be an exercise where you are required to write simple programs and submit them for grading.
It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.
The course is four modules long and is designed to be completed in four weeks.
Rating: 4.6 stars (3, 498 ratings).
Students Enrolled: 121, 790.
Duration: 18 hours.
If you want to work with Python scripts, you’ll need a text editor suitable for coding and an Integrated Development Environment (IDE) to run them.
According to the TIOBE Index, Python is the third 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
If you take any of these python courses on Coursera, not only will you be proficient using python but you’ll also have the confidence required to do great things in this field.
I hope these Python courses on Coursera help you launch a successful career in Python, or at least make you better at your current job
Have you ever taken any of these best Python courses on Coursera before?
If yes, please share your experience in the comments.