Python is an in-demand programming language that can help you unlock the door to a better-paying job. Whether you’re a new programmer looking to switch careers or an experienced coder looking to expand your fit within a challenging job market, this path will provide you with the foundational skills for coding in Python. In this post, we have aggregated the 10 best online free python courses for you.
Career Opportunities in Python
The biggest thing that most developers love about python is how quickly they can learn this programming and scripting language and how easily they can use that learning in actual projects. It is a programming language that significantly cuts down on the total development time. No other programming language offers this benefit.
In addition, python has several APIs and libraries to support a lot of other things than development, including data manipulation, data analysis, and data visualization, amongst others. No wonder Python is so popular not only amongst the developer community but also amongst professionals associated with other fields, such as data analytics and data science. Read why to learn python.
Here are a few job roles that you can fill:
- Python developer
- Data analyst
- Product manager
- Machine learning engineer
Python Salary in India
So the average salary of a software developer with Python skills is around 5,80,000 per annum. This figure can go way beyond Rs 1,000,000 per annum if you have the right experience and additional skills. Other important things that matter include your job location, relevant certifications, and employer.
Popular Python Jobs and Salary
Free Python Courses and Tutorials
Python Essential Training (Linkedin)
4.8 (34,660 ratings) || 609,896+ students enrolled
A thorough understanding of Python 3, the latest version, will help you write more efficient and effective scripts. In this course, Bill Weinman demonstrates how to use Python 3 to create well-designed scripts and maintain existing projects.
This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions. Learn how types and values are related to objects; how to use control statements, loops, and functions; and how to work with generators and decorators. Bill also introduces the Python module system and shows examples of Python scripting at work in a real-world application.
Introduction To Python Programming (Udemy)
4.8 (59,278 ratings) || 705,162+ students enrolled
This course is a one-stop-shop for everything you’ll need to know to get started with Python, along with a few incentives. We’ll begin with the basics of Python, learning about strings, variables, and getting to know the data types.
You’ll soon move on to the loops and conditions in Python. Afterward, we’ll discuss a bit of file manipulation and functions. By then, you’ll know all the basics of Python. This is one of the best free Python courses online out there.
Python from Beginner to Intermediate in 30 min. (Udemy)
4.6 (8,207 ratings) || 114,500+ students enrolled
With this free course, which offers plenty of clear lessons and tools, you will find quickly the virtues of the Python Programming language. The shared knowledge by this course goes from Modules and Functions to Strings, Sequences, and Lists. Every aspect will provide a rich learning experience, preparing you for more cutting-edge courses like “Python from Beginner to Expert: Build 2 Advanced Applications”
Python for Absolute Beginners! (Udemy)
4.6 (5,228 ratings) || 94,084+ students enrolled
If you want to learn how to program, you will LOVE this course! This course was designed for complete beginners with little to no understanding of programming and will give you the knowledge to get started coding using Python 3. We will cover the following topics in this course:
- Python installation
- Running Python scripts in terminal
- PyCharm IDE setup
- Numbers, strings, Boolean operators, lists, dictionaries, and variables
- Functions, arguments, return values, loops, and modules
Programming Foundations: Algorithms (Linkedin)
4.6 (6,207 ratings) || 110,530+ students enrolled
Algorithms are the universal building blocks of programming. They power the software you use every day, whether it’s a spreadsheet, a social network, or a driving assistant. Algorithms offer a way to think about programming challenges in plain English before they are translated into a specific language like C# or JavaScript.
In this course, author and developer Joe Marini explain some of the most popular and useful algorithms for searching and sorting information, working with techniques like recursion, and understanding common data structures.
He also discusses the performance implications of different algorithms and how to evaluate the performance of a given algorithm. Each algorithm is shown in practice in Python, but the lessons can be applied to any programming language.
Python Data Structures: Linked Lists (Linkedin)
4.6 (8,207 ratings) || 125,500+ students enrolled
Rock your next technical interview by using Python to code some of the most common linear data structures: singly and doubly-linked lists. In this course, instructor Erin Allard digs into the subject of linked lists, sharing what you need to know to communicate your understanding of this data structure to an interviewer.
The trainer (Erin) goes over abstract data types and helps you conceptualize nodes in linked lists. She also discusses how to create both the singly linked list and doubly linked list classes and goes over how to implement key methods. Throughout the course, she not only shows how to code the class and methods for each data structure but also explains why each method is needed.
Python for Everybody Specialization (Coursera)
4.8 (185,207 ratings) || 1,217,830+ students enrolled
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Advanced Python (Linkedin)
4.8 (85,207 ratings) || 2,17,830+ students enrolled
Develop your Python programming skills. Python is a great choice for building all kinds of applications, but to fully take advantage of its power and flexibility, you need to master all its advanced functionality.
In this course, you can learn how to leverage next-level Python features such as object-oriented special class methods, use logging to track performance and user activity, see how to port code from Python 2 to 3, and make your code more efficient and easier to read and maintain.
Instructor Joe Marini also shows how to manipulate data, build custom classes and functions, create lists, and write more elegant, optimized code.
8 Things You Must Know in Python (Linkedin)
4.7 (18,210 ratings) || 108,890+ students enrolled
There are many beginner Python tutorials, but to build useful applications, you need to move beyond the basics. This course helps you on the journey to writing intermediate-level Python code. Instructor Jonathan Fernandes presents eight things that you should know how to do in Python.
Topics include the Python any() and all() methods, using enumerate() and zip() methods, min() and max(), and more. For each topic, Jonathan provides a hands-on approach and then gives you a challenge (with solutions) to practice.
8 Things You Must Know in Python (Coursera)
4.8 (22,443 ratings) || 353,010+ students enrolled
This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills — including Python, Git, and IT automation — that can help you advance your career.
Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT.
This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks.
You’ll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
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