5 Best Coursera Python Programming Courses Online 2022

Python is one of the most widely used programming languages, with applications in a variety of fields. That includes web development, automation, data science, and machine learning, to mention a few. Python is the de facto language for data science and machine learning projects in recent years. This is why many experienced programmers are studying Python in 2022. It’s also one of the top programming languages on my to-learn list for 2022. Despite its strength and versatility, Python is a fairly easy language to learn. It is even frequently recommended as a programming language for beginners.

Even if you’re a Java programmer or a web developer who uses JavaScript to create web applications. Learning Python will benefit you because of becoming a polyglot programmer.  That is, knowing more than one programming language, improves your knowledge and experience while also making you more appealing to employers.
Python is a wonderful choice if you’re wanting to learn a new programming language. Especially if you want to pursue a profitable career path in data science or machine learning.


5 Best Coursera Python Programming Courses Online 2022


1 . Python for Everybody Specialization



This Specialization expands on the popularity of the Python for Everyone course and uses the Python programming language to present essential programming concepts. Such as data structures, networked application programme interfaces, and databases. In the Capstone Project, you’ll design and build your own data retrieval, processing, and visualisation apps using the technologies you’ve learned during the Specialization.



  • Install Python and write your first program
  • Describe the basics of the Python programming language
  • Use variables to store, retrieve and calculate information
  • Utilize core programming tools such as functions and loops

Click here to enrol in Python for Everybody Specialization with an additional discount.


2 . Applied Data Science with Python Specialization



This University of Michigan specialization’s five courses teach data science using the Python programming language. This skills-based specialisation is for learners with a basic understanding of Python or programming who want to use popular Python toolkits like pandas, matplotlib, scikit-learn, nltk, and networkx to apply statistical, machine learning, information visualisation, text analysis, and social network analysis techniques to gain insight into their data.
The first three courses in the speciality, Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in that order. Courses 4 and 5 can be taken in any sequence after those have been completed.



  • Conduct an inferential statistical analysis
  • Discern whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a social network

Click here to enrol in Applied Data Science with Python Specialization with an additional discount.


3 . Crash Course on Python


Python Programming


This course will teach you the fundamentals of writing basic Python programmes using the most common structures. It is not necessary to have any prior programming experience. By the conclusion of this course, you’ll know the advantages of programming in IT positions, be able to construct simple Python programmes, grasp how programming’s building pieces go together, and be able to apply all of this knowledge to solve complex programming challenges. We’ll begin by learning the fundamentals of computer programming. Through interactive exercises and real-world examples, you’ll gain hands-on experience with programming ideas.



  • Understand what Python is and why Python is relevant to automation
  • Write short Python scripts to perform automated actions
  • Understand how to use the basic Python structures: strings, lists, and dictionaries
  • Create your own Python objects

Click here to enrol in Crash Course on Python with an additional discount.


4 . Python 3 Programming Specialization


Python Programming


This speciality teaches Python 3 programming essentials. We’ll start with variables, conditionals, and loops before moving on to more advanced topics like keyword arguments, list comprehensions, lambda expressions, and class inheritance.
You’ll also learn how to reason about programme execution so that it’s no longer mysterious and you can troubleshoot it when it doesn’t work.
You’ll be able to write programmes that query Internet APIs for data and retrieve relevant information at the conclusion of the speciality. By reading the documentation, you’ll be able to learn how to utilise new modules and APIs on your own. That will put you on the fast track to becoming a self-employed Python coder.



  • How to inspect and understand APIs and third-party libraries to be used with Python 3
  • Use of Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text
  • Implementing python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)
  • How to apply the open source computer vision library (opencv) to detect faces in images, & how to crop and manipulate these faces into contact sheets


Click here to enrol in Python 3 Programming Specialization with an additional discount.


5 . Google IT Automation with Python Professional Certificate


Python Programming


This Google-developed beginner-level six-course certificate is meant to educate IT workers with in-demand skills such as Python, Git, and IT automation that may help you grow your career. Anyone working in IT should be able to write code to address issues and automate solutions. This programme will help you advance your career by building on your IT roots.  You’ll also learn how to utilise Git and GitHub, diagnose and debug complicated problems, and leverage configuration management and the Cloud to automate at scale.

This certificate is meant to prepare you for a range of IT careers, such as more advanced IT Support Specialist and Junior Systems Administrator positions, and can be completed in roughly 6 months. We recommend that you install Python on your computer. For some courses, you’ll need a computer on which you can install Git or have it installed for you by your administrator.



  • Automate tasks by writing Python scripts
  • Use Git and GitHub for version control
  • Manage IT resources at scale, both for physical machines and virtual machines in the cloud
  • Analyze real-world IT problems and implement the appropriate strategies to solve those problems

Click here to enrol in Google IT Automation with Python Professional Certificate with an additional discount.


Also Read: 5 Best Udemy C# Programming Courses Online 2022

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