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Top 6 Free Python Programming Courses for Beginners in 2020

There is no doubt that Python is currently the world’s #1 programming language and the biggest advantage of that is it’s bringing more and more people into the programming world.

In recent years, I have seen more people learning Python than any other languages, yes, not even JavaScript. Many of them learning Python to explore some awesome 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 not just become one more tool in your arsenal but also allows you to explore areas like Data Science and Machine learning, which is available or easy with Java or any other mainstream programming language like C++ or JavaScript.

It’s always a good decision to learn Python, so don’t worry if you are a beginner programmer or C++/Java expert trying to learn Python. Any time and money invested in learning Python will go a long way and pay rich dividends much like learning UNIX, SQL, and Data Structure and Algorithms.

Some people like to start with free resources which are not bad because it encourages you to explore. Also free doesn’t mean garbage or bad, even though they are not as comprehensive as some of the paid resource they are still better with many others.

In this article, you will find free online courses in python programming, but not only will you find one, but you will also find 6 more free courses on Python! I am going to share some of the best online courses to learn Python in 2020

They are high quality courses with more than 4 star rating (from 0 to 5 stars), that means if you are starting your career with the python programming language, these are the best courses that will take you step-by-step , to start and learn from scratch the fundamentals about this language that so professional and useful has been in recent years.

6 Free Python Programming Courses For Beginners in 2020

1. Introduction To Python Programming

A Quick and Easy Intro into Python Programming

Description

Do you want to become a programmer?

Or is it that Python interests you?

If you need a quick brush-up, or learning Python for the first time, you've come to the right place!

Let's get started learning one of the most easiest coding languages out there right now. There's no need to fret if you haven't coded before. By the time you finish this course, you'll be a pro at Python!

Python is a great and friendly language to use and learn. It fun, and can be adapted to both small and large projects. Python will cut your development time greatly and overall, its much faster to write Python than other languages. This course will be a quick way to understand all the major concepts of Python programming. You'll be a whiz in no time.

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. We'll soon move on to the loops and conditions in Python. Afterwards, we'll discuss a bit of file manipulation and functions. By then, you'll know all the basics of Python.

What you'll learn

  • Program Python
  • Know the basics of Python
  • Write their own scripts, and functinos

I hope you're excited to dive into the World of Python with this course. Well, what are you waiting for? Let's get started!

2. Deep Learning Prerequisites: The Numpy Stack in Python

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

Description

Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python.

One question or concern I get a lot is that people want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code.

Even if I write the code in full, if you don’t know Numpy, then it’s still very hard to read.

This course is designed to remove that obstacle - to show you how to do things in the Numpy stack that are frequently needed in deep learning and data science.

So what are those things?

Numpy. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations.

The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.

That means you can do vector and matrix operations like addition, subtraction, and multiplication.

The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.

Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.

Pandas. Pandas is great because it does a lot of things under the hood, which makes your life easier because you then don’t need to code those things manually.

Pandas makes working with datasets a lot like R, if you’re familiar with R.

The central object in R and Pandas is the DataFrame.

We’ll look at how much easier it is to load a dataset using Pandas vs. trying to do it manually.

Then we’ll look at some dataframe operations, like filtering by column, filtering by row, the apply function, and joins, which look a lot like SQL joins.

So if you have an SQL background and you like working with tables then Pandas will be a great next thing to learn about.

Since Pandas teaches us how to load data, the next step will be looking at the data. For that we will use Matplotlib.

In this section we’ll go over some common plots, namely the line chart, scatter plot, and histogram.

We’ll also look at how to show images using Matplotlib.

99% of the time, you’ll be using some form of the above plots.

Scipy.

I like to think of Scipy as an addon library to Numpy.

Whereas Numpy provides basic building blocks, like vectors, matrices, and operations on them, Scipy uses those general building blocks to do specific things.

For example, Scipy can do many common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.

It has signal processing tools so it can do things like convolution and the Fourier transform.

In sum:

If you’ve taken a deep learning or machine learning course, and you understand the theory, and you can see the code, but you can’t make the connection between how to turn those algorithms into actual running code, this course is for you.

What you'll learn

  • Understand supervised machine learning (classification and regression) with real-world examples using Scikit-Learn
  • Understand and code using the Numpy stack
  • Make use of Numpy, Scipy, Matplotlib, and Pandas to implement numerical algorithms
  • Understand the pros and cons of various machine learning models, including Deep Learning, Decision Trees, Random Forest, Linear Regression, Boosting, and More!

3. Python Core and Advanced

Master the fundamentals of Python in easy steps

Description

Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.

  • Master the Features of Python Language
  • Install Python Virtual Machine and the Eclipse IDE(PyDev)
  • Execute your first python program
  • Learn various simple types as well as collection types
  • Define logic using conditional statements ,looping constructs
  • Use the different types of operators
  • See the input and output functions in action
  • Pass Command line arguments
  • Create and use functions , Lambdas Decorators and Generators
  • Learn what Object Oriented Programming is the four OOPs principles
  • Implement inheritance, abstraction, polymorphism and encapsulation
  • Understand interfaces, their importance, and their uses
  • Use abstract classes and interfaces to implement abstraction
  • Spawn of multiple threads
  • Handle Exceptions
  • Read and Write files using the Files API
  • Do pattern matching using Regular expressions
  • Deal with data and time
  • All in simple steps

What are the requirements?

  • Python,Eclipse IDE(Installation is covered in easy setup section)

What you'll learn

  • Master the Features of Python Language
  • Install Python Virtual Machine and the Eclipse IDE(PyDev)
  • Execute your first python program
  • Learn various simple types as well as collection types
  • Define logic using conditional statements ,looping constructs
  • Use the different types of operators
  • See the input and output functions in action
  • Pass Command line arguments
  • Create and use functions , Lambdas Decorators and Generators
  • Learn what Object Oriented Programming is the four OOPs principles
  • Implement inheritance, abstraction, polymorphism and encapsulation
  • Understand interfaces, their importance, and their uses
  • Use abstract classes and interfaces to implement abstraction
  • Handle Exceptions
  • Read and Write files using the Files API
  • Do pattern matching using Regular expressions
  • Deal with data and time
  • All in simple steps

4. Master Python Complete Course

Python for Data Science and Machine Learning

Description

This course is part of Data science master course.

This course will teach you from Python basics to advanced concepts in a practical manner, with Hands on exercises covered as well.

This Python tutorial for data science will kick-start your learning of Python concepts needed for data science, as well as programming in general. Python is required for data science because, Python programming is a versatile language commonly preferred by data scientists and big tech giant companies around the world, from startups to behemoths.

Whether you are a newbie in data science or already know about basic python for data science, this course is for you. In this python certification course, you will Learn Python programming in a practical manner with hands on coding assignments at the end of each section.

What you'll learn

  • Get a complete understanding of Python from the beginning
  • Understand how to use the Jupyter Notebook
  • Master basics like variables, functions, tuples etc
  • Get hands-on with carefully designed coding assignments
  • Learn to use Object Oriented Programming with classes
  • Special Features and functions
  • Loops and condition formatting

5. 2020 learning python3.8 from beginner to the master

If you to become a Python 3 Developer , Learn Web Development, Machine Learning ,this course is right for you.

This is image title

Description

If you to become a Python 3 Developer , Learn Web Development, Machine Learning ,this course is right for you.

This course will give you everything about python

Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy. This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.

What you'll learn

  • Become a professional Python Developer and get hired
  • Learn Object Oriented Programming
  • Learn Machine Learning with Python
  • Learn Data Science - Analyze and Visualize Data
  • Use Python to process: Images, CSVs, PDFs, and other Files
  • Build real world Python projects you can show off
  • Master modern Python 3 fundamentals as well as advanced topics
  • Learn Function Programming
  • Learn how to use Python in Web Development
  • Build a Machine Learning Model

6. Programming with Python All in One

Develop problem solving skills

Description

Programming is one aspect of computer science and software engineering. The primary goal of this course is to build a solid foundation of programming knowledge and skills. With what learned in this course, the students should find it is easier to learn more advanced concepts in computer science.

Not everyone will be or want to be a software engineer, however, this course can help them realize how a problem can be solved by using computer program; how Python can help scientists and engineers improve their productivity.

Believe or not, software developers usually join a product development from the very beginning to the very end. (while this is not true for mechanical engineers or electrical engineers). Most importantly, sometimes, updating software is the better solution to fix or improve a product.

The teaching can be viewed as a vehicle to help students develop problem solving skills. This course will use some mathematics or physics, but it is not a math or physics course, and we use them in programming to re-enforce the learning in those fields.

At the end of this course, It would be a great achievement for the students and me when they find they are able to learn so

What you'll learn

  • Basic programming skills
  • Computer science concept
  • Python programming language
  • Problem solving - put everything together with software

Conclusion

That’s on this list of free Python Programming courses for beginners. As I have said before, Python is an awesome, multipurpose programming language and every programmer should learn it.

You can automate things using Python by writing scripts, can do object-oriented programming and can even explore the world of web development, data science and machine learning using awesome Python libraries and modules.

Thanks for Reading

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