10 Free Courses to Learn Python in 2019

DZone 's Guide to

10 Free Courses to Learn Python in 2019

Find the right course for you.

· Big Data Zone ·
Free Resource

In recent years, I have seen more people learn Python than any other language. Many of them are learning Python to explore Data Science and Machine learning libraries provided by Python. Some people are also learning Python for web development, and there are still many developers who are learning Python for scripting and automating trivial tasks. It doesn't matter why you are learning Python at this moment; it's a great thing in itself that you have decided to learn Python.

Even though I am a Java programmer, and I have spent all my career coding in Java, I value Python very for its versatility.

If you decide to learn Python and looking for resources, you have come to the right place. In this article, I am going to share some more free courses to learn Python.

Top 10 Free Python Online Courses

Without any further ado, here is my list of free Python programming courses for beginner and intermediate Python programmers. The course do not only contain basic Python programming courses, but also explain OOP and Data Science.

1.  Python Core and Advanced

This is a comprehensive course to learn Python, and we should thank the instructor for keeping it free.

In this course, you will learn how to install Python, execute your first Python program, logic, programming constructs, python syntax, command-line python, object-oriented programming using python, and many more advanced concepts.

The course is eight hours long and teaches topics like pattern matching using a regular expression, reading and writing files using the files API, and building interfaces — something not normally taught in free courses.

In short, this is a perfect course to learn Python in detail for free.

2. Programming With Python: Hands-On Introduction for Beginners

This is another awesome course to learn Python Programming and as the name suggests it focuses more on hands-on training than anything else.

The courses aim to remove roadblocks, beginning programmers face while learning Python. It starts with teaching you how to download and install Python, set up your development environment, and write your first project.

It then slowly builds on that and explains key Python programming concepts, such as variables and data types, numbers, operators, string, list, tuple, dictionary, conditional statements, loops, functions, and exception handling.

It also helps you to build a project and provides some discount coupons to get other premium courses taught by instructor Febin George.

3. Deep Learning Prerequisites: The Numpy Stack in Python

This course is for my programmer friends who are learning data science and machine learning with Python.

In this course, you will explore some of the exciting Python libraries like NumPy, SciPy, Pandas, and Matplotlib stack, which provides a perfect base to explore further on deep learning, machine learning, and artificial intelligence.

The course is also hands-on and deeper than you think. You will not just know about these libraries, but also understand the pros and cons of various machine learning models, including Deep Learning, Decision Trees, Random Forest, Linear Regression, Boosting, etc.

If you need more choices for Data Science and Machine learning courses, you can also take a look at this list of best machine learning courses.

4.  Learn Programming With Python in 100 Steps

This is my favorite and a great course to learn Python 3 step-by-step. It's from one of fellow blogger and instructor Ranga Karnan, a popular Udemy instructor.

In this course, you will not only learn about Python programming concepts but also learn about tools and IDEs like PyCharm from JetBrains and Python Shell.

You will also get a chance to solve a wide variety of hands-on exercises on different Python topics like data structures, OOP concepts, exception handling, and file handling; you'll also develop an awesome Python project.

Most importantly, this course will teach you how to think as a Python Programmer. The course is free at the time of writing this article, but like any other course on Udemy, the instructor can also convert this to the paid course, hence it's better to join early than late.

Once you join the course, it will remain free for a lifetime, even after the instructor coverts it to a paid course.

5. Learn Python 3.6 for Total Beginners

If you love to learn a new programming language by solving coding problems, then this course is for you. It's a good comprehensive course which has more than 6.5 hours of content.

The best thing about this course is that it will not only teach you Python but also how to use Jupyter Notebook, a popular Python IDE. 

The course covers programming basics like data types, operators, control flow statements, loops, functions, handling errors, and common String operations like a slice, split, join and formatting.

It also explains data structures in Python in detail, including Lists and Range, Tuples, Dictionaries; then, you have exercises to use the knowledge you have learned.

In short, an interesting, free course to learn Python 3.6 and some vital features of Jupyter Notebook.

6. The Four Pillars of OOP in Python 3 for Beginners

This is another free Python course from Udemy, which is focused on teaching object-oriented programming using Python 3.

In this course, you will learn about essential object-oriented concepts like Classes, Objects, Attributes, Methods, Abstraction, Encapsulation, Inheritance, and Polymorphism — four pillars of OOP and how to use them in a Python program.

You will also build a final project to simulate a system using an object-oriented design.

7. Python 3 Bootcamp for Novices: Start programming in Python 3

If you like a bootcamp style course to learn Python, then this free course is for you.

This is a detailed, simple, and straight-forward course for beginners. It doesn't matter if you know how to code or not; the course assumes no prior experience with programming or coding.

8. Try Django 1.11 // Python Web Development

Django is a popular Python library for web development. If you are learning Python for developing web applications, then learning Django can be very beneficial.

In this course, you will learn the basics of Django 1.11. You will start with web development basics like HTML and Jango Templates and then move on to more advanced concepts like forms, views, models and more.

Overall this is a nice, free course to learn Django quickly. If you need more choices for a web development course, you can also check my list of web development courses for programmers.

9.  Introduction To Python Programming

This is a really nice course for beginners. You will start with downloading and installing Python, which is always a hard task for beginners. Then, you will create your first project.

The course explains most of the basics about Python programming language like syntax, operators, functions, loops, class, object, standard Python data types, etc.

The course has been trusted by more than 170,000 students and Instructor Avinash Jain has also made an effort to update the course. A big thanks to him for that and keeping this course free.

In short, this is a good course for beginners that will help you to learn Python basics quickly.

10. Learn Python: Build a Virtual Assistant

If you are someone who likes to learn a new programming language by building something useful then this course is for you.

In this course, you will build a virtual assistant for your computer. you will learn how to get data from Wikipedia and Wolfram Alpha, as well as create a GUI.

This course will help you add something fun to your portfolio and give you good practice for using python. You will go from beginner to intermediate level by creating a real-world application.

coding, courses, programming, python, software developent

Published at DZone with permission of Javin Paul , DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}