On this page, we have compiled a list of the best free Python courses for you.
Believe us, this will provide you with both the basic and advanced hands-on skills to start building your web application.
The Free Python courses are video tutorials with top expert instructors from well-recognized universities in the world.
However, you will learn how to implement your code with Data Science and Machine Learning.
What is Python Programming?
Python is a high-level, interpreted, and open-source language. It supports both object-oriented and procedural programming paradigms.
However, the programming language is a top trend as it is easy to learn, simple with syntax emphasizes readability.
Python reduces the cost of program maintenance and support code reuse.
Why you should learn Python Programming?
As the skill becomes the most sort after, in the internet industry, it is important you take a step toward it.
Some people have different reasons for them learning python programming. It might be to use it and build a web application.
However, As a Pythonistas, you can earn much salary with your skill or take freelance work, maybe remotely and become a six-figure income earner.
In addition to that, I will encourage you not to learn python because of the salary or the demands out there.
What is the main reason I want to learn this programming language?
How will it profit me and my passion in life?
Will I consider this a waste of time or isn’t worth my time at all?
These few questions with some thought on your mind can help you know whether learning python is the best choice so far.
I believe those questions will provide you with a clear idea about the plans for learning it.
If that is your final decision, then I ask you to learn python as if you want to teach someone else.
In this sense, you will learn a bit more faster and effectively with few thoughts of what the students can ask you.
It’s important to know the features of the python programming language and what you can accomplish with the skill.
We will still cover all that on this page.
What do you use Python for?
You can use python in developing so many things but here are the few things you can combine your python skill to achieve something interesting.
- Data science
- Machine learning
- Writing automation scripts
- Software testing
- Web development
- Software prototype
- Programming of web crawlers
- Network programming
- Computer graphics
- Desktop development
- Game development
- Multimedia application
- Mobile development, and many more
How much does a Python Programmer earn?
What you will earn as a python programmer depends on your skill, experience and area of perfection.
Python can be use to build so many things from Data Science, Game application, Machine Learning to Automation tools.
Top companies like Google, Facebook, Spotify, Netflix, and Dropbox are using python for different things.
According to PayScale’s data, the average Python developer salary in the United States is $79,395 per year.
Indeed.com also report an interesting data with an average salary of $109,349 per year in the United States and $5,000 cash bonus.
Notwithstanding, your level of experience will influence your salary structure as a python developer in the US.
Other countries pay python developer lesser or even higher but this is solely dependable on the location, experience, preffered framework, employer, and more.
It is reported the Python developer with good knowledge of using the Django framework earns the highest.
Even though your job role may be different by companies demand, Python developers are responsible for the following:
- Designing and implementing quality applications,
- Writing reusable and efficient code,
- Integrating user-facing elements with server-side logic,
- Coming up with data storage solutions
An average pay per hour starts from $30 to $70, which grew by 15% for the last 5 years.
Python is not only one of the most popular programming languages in the world, yet it offers one of the most promising job possibilities as well.
This demand for Python developers is growing each year. There is a motive why this high-level programming language is so outstanding.
Maybe it’s because of how easy it is to learn and the code is simple and clean, what do you think?
How to find a job as a Python developer?
This is not a problem at all.
You can find a job as a python developer in the following websites.
- Linedin Job
- Dice, and many more
Your expertise must be in any of the following level
- Entry-level Python developer
- Average junior Python developer
- Mid-level Python developer
- Senior Python developer
The Best Recommended Python Course Online.
If you are a beginner at python programming, we will recommend you to start with the “Learn Python on Datacamp” course.
Datacamp allows you to start learning python programming for free with a hands-on tutorial on how to understand and implement python code.
You will be trained by industry top expert and practical resources will be provided.
Learn Python on DataCamp Course Contents
Here are the course contents:
1. Python fundamentals
An introduction to the basic concepts of Python.
How to manipulate dictionaries and DataFrames, visualize real-world data, and write your own Python functions.
Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python’s basic data types.
Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.
You’ll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written.
The goal is to reduce the amount of code you need to solve challenging problems!
2. Statistics fundamentals
Statistics is the study of how best to collect, analyze, and draw conclusions from data.
A strong foundation will serve you well, no matter what industry you work in.
In this beginner’s track, you’ll learn the concepts, topics, and techniques used by data scientists and statisticians every day—including observational studies and experiments, correlation, regression, exploratory data analysis, and inference.
You’ll also develop your stats skills by working with real-world data, including Stack Overflow surveys, real estate prices, and medical shipment data.
3. Data visualization
Bring your data into focus.
Develop the invaluable skills you need to analyze and display data using R—essential when communicating insights and discoveries to non-technical stakeholders.
In this track, you’ll learn how to create and modify plots using ggplot2, optimizing the aesthetics and germs to help you build beautiful and accurate visualizations.
From here you’ll progress your ggplot2 skills and learn how to calculate statistics and use facets and coordinates.
You’ll also learn some best practices for creating visualizations, including three plot types you should avoid.
4. Importation and cleaning data
Understanding how to prep your data is an essential skill when working in R.
It’s what you have to do before you can reveal the insights that matter.
In this track, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more.
You’ll then gain the skills you’ll need to prepare your data for analysis, including converting data types, filling in missing values, and using fuzzy string matching.
Throughout the track, you’ll have the chance to apply your skills to real-world data such as customer asset portfolios and restaurant reviews.
5. Date manipulation
Real-world data is messy.
Using these packages, you can take the pain out of data manipulation by extracting, filtering, and transforming your data, clearing a path for quick and reliable data analysis.
If you want to improve your data wrangling skills this is the track for you.
You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple tables.
You’ll also gain hands-on experience of how to combine, merge, and create visualizations.
You’ll apply your newfound data manipulation skills using dplyr to analyze voting data from the United Nations.
6. Machine learning fundamentals
7. Time series
8. Image processing
Big data with PySpark
Advance Python programming
Natural language processing
Deep learning for NLP
What makes DataCamp different?
We believe in learning by doing.
With DataCamp, you complete real-world coding exercises directly in your browse—no downloads or complex installations.
Who are the Python Instructors on DataCamp?
– Justin Bois: Lecturer at the California Institute of Technology
– Alex Yarosh: Curriculum Developer @ Cockroach Labs
– Katharine Jarmul: Founder, Kjamistan
– Allen Downey: Professor, Olin College
– Chris Moffitt: Creator of Practical Business Python
– Shaumik Daityari: Business Analyst at American Express
– Thomas Laetsch: Data Scientist at New York University
and many more.
How long will it take you to finish the python course?
You will need approximately 360 hours to complete the “Learn python on DataCamp” course.
What are the prerequisite?
There is no prerequisite to learn python on DataCamp.
All you need is a device that can access the internet and internet connection.
We recommend you use a laptop instead of a smartphone.
You can learn Python on Datacamp without having to install any software.
All the training and exercises can be done completed in your browser.
List of Free Python Courses Online
Here are the top 10 resources to learn python programming for free. These are free video courses and some required payment before certification.
Python training by Edureka is curated by industry professionals as per the industry requirements and demands.
However, the Python Certification course is designed to help individuals understand the basics of Python programming theories.
As a student, you will be able to learn some python concepts like Data Operations, File Operations, and OOPs concepts.
The Python course is a live class with interaction and you can ask your instructor any questions for clarification.
It is the work of the instructor to assist you in understanding several Python libraries such as Pandas, Numpy, and Matplotlib.
You will also get to see practically how you can apply these libraries in real-life projects.
The course certification costs $314 but you can pay after the completion of your training.
Enroll now and pay later in the Edureka Python certification course and learn Python online.