Top 5 Free Online Courses For Python Programming


Python is a popular and versatile programming language used for a wide range of applications. It’s known for its simplicity and readability, making it a great language for beginners to learn. And, for experienced programmers, Python offers a wealth of libraries and frameworks to enhance their skills.

If you’re interested in learning Python, you’re in luck! There are many free online courses available to help you get started or improve your skills. In this blog post, we’ll take a look at some of the best free online courses for Python programming.


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1. Python Basics

This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You will program the sail turtle to draw beautiful pictures. You will also learn to draw reference diagrams to justify program execution, which will help you develop debugging skills. This course has no prerequisites. It includes Chapters 1-9 of the Python Programming Fundamentals textbook, which is the (optional and free) companion text to this course.

This course is for you if you are new to Python programming, if you need a refresher on Python basics, or if you may have been introduced to Python programming but would like deeper exposure and vocabulary for program descriptions and desired justification.

2. Python for Everybody Specialization

This specialization builds on the success of the Python for All course and introduces basic programming concepts, including data structures, application network interfaces, and databases, using the Python programming language. In the Capstone project, you will use the technologies learned in the specialization to design and build your own data mining, processing and visualization applications.

3. Programming for Everybody (Getting Started with Python)

This course aims to teach everyone the basics of computer programming using Python. We’ll cover the basics of creating a program from a series of simple Python statements. This course has no prerequisites and avoids everything but the simplest math. Anyone with moderate computer experience should be able to master the material in this course. This course covers chapters 1-5 of the Python for Everyone textbook. Once a student has completed this course, he or she is ready to move on to an advanced programming course. This course covers Python

4. Google IT Automation with Python Professional Certificate

Developed by Google, this six-course entry-level certification is designed to provide IT professionals with in-demand skills including Python, Git, and IT automation that can help advance their careers.
Knowing how to write code to solve problems and automate solutions is an essential skill for anyone in IT.
This program builds on your IT fundamentals to help you take your career to the next level. It is designed to teach you how to program in Python and how to use Python to automate common system administration tasks. You’ll also learn to use Git and GitHub, troubleshoot and troubleshoot complex issues, and deploy automation at scale using configuration management and the cloud.
This certificate can be completed in approximately 6 months and is designed to prepare you for a variety of IT roles such as: B. as an advanced IT support specialist or junior systems administrator.

5. Machine Learning with Python

This course starts with a light introduction to machine learning and what it is, with topics such as supervised learning vs. unsupervised, linear and nonlinear regression, simple regression, and more.

You then explore classification techniques that use different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and logistic regression. You will also learn about the meaning and different types of clustering, such as B.k-means, hierarchical clustering, and DBSCAN.

With the many concepts you will study, there is a strong emphasis on hands-on learning. You work with Python libraries like SciPy and sci-kit-learn and apply your knowledge in the lab. In the final project, you will demonstrate your expertise by building, evaluating, and comparing several machine-learning models with different algorithms.

6. Using Python to Interact with the Operating System

At the end of this course, you will be able to manipulate files and processes on your computer’s operating system. You’ll also learn about regular expressions – a very powerful tool for processing text files – and practice using the Linux command line in a virtual machine. And that may seem like a stretch at the moment, but you’re also going to be writing a program that handles a series of errors in an actual log file and then generates a summary file. This is a very useful skill that IT professionals need to know.

We start by learning how to run Python locally and organize and deploy code in various Python files. Next we’ll learn how to read and write various file types and use subprocesses and input streams. We’ll also explore bash scripts and regular expressions, both very powerful tools for anyone working with systems. We’ll even cover automated testing, which allows us to automate how we verify that our code is correct. Finally, we put it all together using the tools we acquired to process data and create automated reports.

7. Python Data Structures

This course introduces the basic data structures of the Python programming language. We’ll go through the basics of procedural programming and explore how we can use Python’s built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course covers chapters 6-10 of the Python for Everyone textbook.

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8. Python Basics: Problem-Solving with Code

Much code builds from the most basic elements of the language into increasingly correct and meaningful things. In this course, we will learn to create more complex ideas and possibilities in Python. From a technical standpoint, you’ll study dictionaries and how to work with them and construct them, functions, refactoring and debugging, all of which are also tools for thinking about the art of problem-solving. We will use this knowledge to check our browsing history, query tweets, and draw pictures.

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