Are you looking to become a professional Python developer? Or are you interested in programming but don’t know where to start?
Python is a beginner-friendly and versatile programming language. Python is used in every area of software development. Knowing Python is a great in-demand skill in the job market.
For instance, nearly every Machine Learning or Artificial Intelligence project involves Python. Due to the rapid developments in ML and AI, Python has gained even more popularity in recent years.
By the way, if you already know you are interested in Data Science, ML, or AI, read Best Data Science Courses with Python.
This article is a comprehensive guide to the best Python courses with certifications.
In addition to showing the courses, I talk about what makes them great. Furthermore, after reading this guide, you will have a better understanding on:
- 📅 Whether Python is still relevant or not
- 🧑🏫 Why learn Python
- ⌛ How long it takes to become a job-ready developer
This article has affiliate links at no cost to you!
Best Python Certification Courses
Here is a list of the best Python courses with certification. Some of the courses are actually specializations of multiple courses.
Here is a quick recap of the courses. Feel free to click any course to find out a thorough description of it.
- Complete Python Bootcamp From Zero to Hero in Python
- Learn Python Programming Masterclass
- Python for Absolute Beginners
- Python for Everybody Specialization [5 Courses]
- Google IT Automation with Python Professional Certificate [6 Courses]
- Python for Data Science and Machine Learning Bootcamp
- Introduction to Scripting in Python Specialization [4 Courses]
- Learn Python 3
Should You Still Learn Python Today?
Python is among the most popular programming languages of all time. It has been around for more than 30 years.
One might argue Python is losing its relevance, and no one should learn it anymore.
But because a programming language is old does not mean it should go away. The fact that Python is old means the community has matured well. Also, there are a ton of great resources, courses, and useful tools built on top of Python.
Also, Python still has one of the easiest programming language syntaxes. Sometimes Python reads almost like English. This lowers the barrier for beginners to start learning.
You shouldn’t forget the Python language itself is constantly under development too. New Python versions with great new features will arise in the future.
Today, Python stands as a strong programming language. It is the easiest programming language to get started with. Python is also one of the most versatile languages. It is applicable to the most in-demand fields in software development and computing.
Instead of slowing down, Python has gained even more momentum in recent years. This is because Python has become the de-facto of Machine Learning, Artificial Intelligence, and Data Science.
To put it short, learning Python is still relevant today! If you want to become a software developer but don’t know what to focus on, start learning Python.
Python is both easy to learn and highly applicable to almost anything.
🤔 Not convincing enough? Feel free to read 8 Reasons to Learn Python today.
🚀 Also, make sure to read How to Become a Job-Ready Python Developer in 6 Months or Less.
Why Course Certification?
Course certification is a great way to prove that you completed a course.
Taking a Python course with a certification is a great way to showcase you actually learned something.
However, don’t focus too much on the certification! The only thing that truly matters is what you learned and what you can do. You need to have meaningful projects on your portfolio. A great thing about the courses on this list is you get exactly that!
About the Python Courses
All the courses in this list are self-paced online courses. No need to attend lectures or return exercises on a deadline!
Most of the courses in this article are beginner-friendly introductory courses to Python. Thus, they assume you have no previous knowledge of coding.
Some of the courses are specializations. This means they consist of multiple courses. These specializations take months to complete, but they are worth it. With a comprehensive specialization course set, you become a job-ready Python developer.
So whether you are looking to become a job-ready Pythonista or just a hobbyist developer, you will certainly find a course that suits you!
The courses in this article are brought to you by experts in the field. You can find these (and more) courses on popular e-learning platforms like:
- Udemy
- Coursera
- edX
Without further ado, let’s jump into the list of courses.
1. 2022 Complete Python Bootcamp From Zero to Hero in Python
Complete Python Bootcamp From Zero to Hero in Python is a comprehensive Python course for absolute beginners.
This is one of the bestseller courses on Udemy. With over 1.5M participants and a rating of 4.6, this course is all you need to become a certified Python developer.
This course is for those with no coding experience. It also suits someone who has some experience and wants to take it to the next level.
You will become master Python developer that can solve common everyday tasks with programming skills. You will also know how to build GUIs and how to use the common data scientist tools like Jupyter.
| Rating | 4.6 |
| Students Enrolled | 1,537,035 |
| Certification | Yes |
| Paid | Yes |
| Content | 22 hours of video, 14 articles, 19 coding exercises |
| Instructor | Jose Portilla |
| Refund Policy | 30-Day Money-Back Guarantee |
What You Will Learn?
This Python course teaches you how to use Python to solve real-life problems. You can apply these skills in your own projects and work. Some of the highlights include:
- Learning how to solve real-life problems using Python
- Understand advanced features and topics of Python
- Creating GUIs with Jupyter Notebook
- Learning how to reuse library code
- Add nice projects to your portfolio
- Write games using Python
After the course, you have a complete understanding of Python. At this point, you might already be able to land a junior developer’s position.
Course Requirements
🖥️ The only requirements for this course are a computer and an internet connection. Of course, you also need a bunch of motivation and a good spirit.
Who Is This Course For?
This is a comprehensive Python course for absolute beginners. You should take this course if you want to learn Python and:
- Have never coded before
- Want to switch to Python from another language
The course takes you from zero to hero.
This course also supports those with some background in Python looking to sharpen their skills.
2. Learn Python Programming Masterclass
Learn Python Programming Masterclass is another popular Python course on Udemy. With close to 400k participants and a 4.6-star rating, this course turns you into a professional Pythonista.
The difference between this course and the previously introduced course is in the level of detail. This course comes with 70 hours of on-demand video. With this course, you get a solid understanding of the Python programming language.
The course is been put together by popular and beloved teachers, Tim Buchalka and Jean-Paul Roberts. These two teachers have over 70 years of combined programming experience. They have been working in companies like IBM and Fujitsu! Also, they have taught hundreds of thousands of students around the world.
These teachers know the industry best practices and standards. They can teach you skills that the recruiters are truly looking for!
This course does not focus on any particular field of software development. Instead, it teaches you how to write programs in Python. With these skills, you can then proceed to specialize in some particular area, such as Machine Learning, Artificial Intelligence, or Data Science.
The course comes with a bunch of assignments and challenges you can use to test your skills. The materials are kept up-to-date with the latest advancements in the Python programming language. Having the materials up to date is great because programming languages are updated frequently.
| Rating | 4.6 |
| Students Enrolled | 376,618 |
| Certification | Yes |
| Paid | Yes |
| Content | 70 hours of video, 12 articles, 15 downloadable resources, 34 coding exercises |
| Instructor | Tim Buchalka, Jean-Paul Roberts |
| Refund Policy | 30-Day Money-Back Guarantee |
What You Will Learn?
This course focuses on learning Python from the ground up! Some of the learning highlights of the course include:
- Learning Python from experts in the field
- Understanding Python 2 and Python 3
- Learning how to create own Python apps
- Understand the basics of the OOP paradigm (Object-Oriented Programming)
- Earn a skill level with which you can confidently apply to a job
Course Requirements
🖥️ The only requirements for this course are a computer and an internet connection.
Who Is This Course For?
This is a beginner-friendly Python course that requires no previous knowledge of coding. You should consider taking this course if you are someone who is:
- Looking to learn to code and get a job as a software developer
- Eager to build Python skills with which to move on to a specific area, such as data science or machine learning
- A developer with experience but lacks Python skills
- A beginner Python developer who is looking to sharpen their skills
3. Python for Absolute Beginners
Python for Absolute Beginners is a compact and versatile Python course. As the name suggests, it is designed for those with no previous coding knowledge.
This course is a compact primer to the basics of Python. It comes with 4 hours of on-demand video and a bunch of useful articles and exercises.
As opposed to the earlier courses in this list, this course is a much more compact alternative. This is a great course to quickly gain knowledge of the basics of Python. But if you are looking to become a job-ready developer, pick another more extensive course.
| Rating | 4.5 |
| Students Enrolled | 169,708 |
| Certification | Yes |
| Paid | Yes |
| Content | 4 hours of video, 66 articles |
| Instructor | Green Chameleon Learning |
| Refund Policy | 30-Day Money-Back Guarantee |
What You Will Learn?
This course teaches you the basics of Python. You become fluent in Python programming language and understand basic computer science concepts.
You learn essential Python programming concepts, such as:
- Data structures (lists, dictionaries, tuples, strings)
- Functions
- Loops
- Control flow
And much more.
This course also focuses on teaching Python without focusing on a specific area in software development. After completing the course, you can shift your focus to specific areas, such as Data Science or Machine Learning.
Course Requirements
Meanwhile, you don’t need to possess any programming skills, there is a bunch of things you need to successfully take the course:
- A computer
- Internet access
- Great English skills to understand technical language in the lectures
- Basic understanding of math, such as:
- addition
- subtraction
- multiplication
- division
- power
Who Is This Course For?
This course is recommended for someone who:
- Wants to take a sneak peek at programming
- Does not have any prior coding experience
- Has rusty Python skills and needs a refresher
- Knows other programming languages and wants to add Python to the list
4. Python for Everybody Specialization
Python for Everybody Specialization is a Coursera bestseller. It is not a single course. Instead, it is an entire Python specialization that consists of 5 related courses.
- Programming for Everybody
- Python Data Structures
- Using Python to Access Web Data
- Using Databases with Python
- Retrieving, Processing, and Visualizing Data with Python
You can also choose one of these courses as a standalone if wish to.
In this chapter, we go through these courses one by one in more detail.
Completing this course takes around 3 months if you work 11 hours a week. Be prepared to spend a lot of time learning!
With over 1 million participants and a 4.8-star review, this is a great choice for someone who wants to become a career-ready Pythonista.
The main goal of this entire specialization is to learn how to analyze data using Python. The specialization starts by going through the basics of Python. Then it moves to data structures, APIs, and databases.
The specialization is taught by Dr. Charles Severance. He is a popular Coursera teacher and a Clinical Professor at the University of Michigan School of Information. His experience in the field is tremendous and he knows to teach what matters in the job market.
| Rating | 1,276,806 |
| Students Enrolled | 4.8 |
| Certification | Yes |
| Paid | Yes |
| Content | – Course Videos & Readings – Practice Quizzes – Graded Assignments with Peer Feedback – Graded Quizzes with Feedback – Graded Programming Assignments |
| Instructor | Charles Russell Severance |
| Refund Policy | 7-Day Free Trial |
What You Will Learn?
This specialization teaches you how to become an all-round professional Python software developer. In addition, it teaches you how to process data over the networks.
Some of the key highlights of the course include:
- Build programs that retrieve, process, and visualize data
- Understand the basics of programming using Python
- Understand data structures
- Learn the basics of SQL, which is a database query language
- Understand how to design databases
- Perform complex data analysis using built-in data structures
Course Requirements
Assuming you start the specialization from the very first course, you don’t need any previous knowledge in programming.
All you need is a computer and internet access plus a ton of motivation!
Who Is This Course For?
As the name of the specialization suggests, this set of courses is for everyone. More specifically, you will benefit from these courses if you:
- Want to learn Python without any knowledge of coding
- Have some previous knowledge in coding but don’t know Python
- Want to specialize in networking and data structures
As you learned, Python for Everybody Specialization consists of 5 courses. Let’s take a more in-depth look at the individual courses that make up the specialization. This helps you set more expectations. With this information, you can also decide whether you should take the entire specialization or some particular course part.
4.1. Programming for Everybody (Getting Started with Python)
Programming for Everybody (Getting Started with Python) is the first part of Python for Everybody Specialization.
This is not just any Python course. As a matter of fact, it is one of the most popular and well-rated Python courses there is. With a staggering 2.5M+ participants and a 4.8-star review, it is one of the best introductions to Python programming ever.
So it serves you really well even as a standalone course.
This introductory-level Python course teaches you the basics of programming with Python.
You learn how to build programs by combining a set of instructions. The course does not require any prior knowledge of Python or programming. Also, this course is going to use very little math and does its best to avoid all but elementary math.
Once you have this course out of the way, you are ready to proceed into more advanced courses.
4.2. Python Data Structures
The second part of Python for Everybody Specialization is the Python Data Structures course.
This is a course with nearly 1M participants and a 4.9-star review. It is also one of the most popular and well-rated Python courses out there. To take this course, make sure to take the previous course. At least, make sure to have the skill level of someone who has taken the first course.
The course introduces you to the core built-in data structures of Python. You will learn how to use lists, dictionaries, and tuples to perform data analysis. These data structures are used to store and operate large amounts of data. Without these data structures, any sophisticated Python program wouldn’t be possible.
4.3. Using Python to Access Web Data
The third part of Python for Everybody Specialization is the Using Python to Access Web Data course.
This comprehensive course teaches you how to treat the internet as a data source. You will learn the basics of data scraping, parsing, and reading data from the web. You will also understand what are APIs and how to use them. You are going to work with HTML, XML, and JSON data formats.
Using the internet as a data source is a must-learn skill for any software developer. No matter what you do, there comes the time when you have to retrieve and operate on data over the internet. Especially as a data scientist, you will commonly perform network requests to obtain data.
This course teaches you how to perform network requests to get data from third-party data sources on the internet.
To take part in this course, you need to be familiar with the concepts taught by the first two courses in this specialization.
4.4. Using Databases with Python
The fourth course in Python for Everybody Specialization is Using Databases with Python course.
This course teaches you the basics of SQL (structured query language). You will also learn how to design a database for data storage. A database lets you gather data, process it, and perform analysis on it. In addition to a database, you will also build a web crawler, data gathering, and data visualization processes.
Understanding databases, data retrieval, and data processing are important skills. This is useful in data science, machine learning, artificial intelligence, and web development.
4.5. Capstone: Retrieving, Processing, and Visualizing Data with Python
As the last major step in the Python for Everybody Specialization, it is time to combine everything you learned. The course, Capstone: Retrieving, Processing, and Visualizing Data with Python, focuses on building a bunch of applications.
Each application will combine information taught in the previous courses. This means data retrieval, processing, and visualization using Python.
In the first part of the course, students perform some data visualization to further familiarize themselves with data visualization. Then the students continue to own projects and other data they have or find on the internet.
5. Google IT Automation with Python Professional Certificate
Google IT Automation with Python Professional Certificate is a six-course specialization.
This specialization is developed by Google. The main goal is to teach IT professionals essential problem-solving skills and tools like:
- Python
- Git
- IT Automation in general
These skills help you advance your career and prepare you for roles like Advanced IT Support Specialist or Junior System Administrator. After completing the specialization, you are job-ready!
You don’t have to possess any previous coding knowledge to get started with this specialization.
| Rating | 4.8 |
| Students Enrolled | 399,337 |
| Certification | Yes |
| Paid | Yes |
| Content | – Course videos and readings – Graded quizzes and assignments |
| Instructor | Google Career Certificates |
| Refund Policy | 7-Day Free Trial |
What You Will Learn?
This specialization teaches you a variety of essential skills for software developers or IT specialists.
Some of the learning highlights include:
- Using Git Version Control (every developer needs this skill!)
- Automating tasks with Python Scripting
- Understanding how to manage IT resources at scale
- Analyzing real-life IT issues and fixing the problems with clever solutions
Course Requirements
🖥️ To get started, you need a computer and an internet connection.
Who Is This Course For?
This specialization is for those who are interested in becoming IT specialists and using Python to solve problems.
As mentioned earlier, this is a six-course specialization. Let’s have a closer look at the individual courses that make up this specialization.
Course 1: Crash Course in Python
This specialization starts with a crash course in Python programming.
This course assumes no previous knowledge of Python or any other programming language. This course teaches you how to write basic Python programs using the most common structures.
After completing this introductory-level course, you understand:
- What is programming
- How different IT roles benefit from programming skills
- How to write Python programs
You gain experience by working with hands-on coding exercises and small projects.
This course is a great introduction to Python as a standalone course too.
Course 2: Using Python to Interact with the Operating System
This course teaches you how to interact with your operating system and the files in it.
First, you learn how to run Python locally on your machine. Then you learn how to distribute your programs across different files. At this point, you have a solid knowledge of how to write and execute Python programs. Then it is time to learn how to read and write files using Python and understand input streams.
You will also learn how to do some basic Bash scripting using your command line or terminal. You even get to explore with automatic testing to test if your code actually works.
After completing this course, you know how to modify files and alter the processes of the operating system of your computer. This course also teaches you Regular Expressions, which is a pattern matching technique every software developer should know.
Course 3: Introduction to Git and GitHub
Version Control is one of the essential tools of a software developer. It allows you to develop software with a team in scale.
Version control is used to make changes to the code project. With version control, you can have multiple developers working on the project simultaneously. Version control also allows you to hop between versions. For example, you can check what your code looked like 3 years ago.
With version control, you can also contribute to other developers’ projects.
As you might imagine, understanding version control is beneficial to any developer, be it a solo developer or a team member.
This introductory course to Git and GitHub teaches you the basics of version control.
- Git is the most popular version control system.
- GitHub is a cloud-based Git repository where you can store all your code projects.
It is said that a developer does not need a CV. Instead, they need a GitHub profile. This allows recruiters to explore the developer’s projects and examine the code.
This course starts off by teaching the basics of how to version your code projects. You then proceed to create a GitHub account. After this, you can start storing your projects in the cloud under the Git version control.
Learning Git is not difficult. However, because there are lots of commands and features, it will take time. This course teaches you the basic commands and features of Git. For example, you learn how to do branching and merging.
After this course, you know how to store your project and its history in the cloud. You also know how to collaborate with other developers on GitHub.
Course 4: Troubleshooting and Debugging Techniques
This course teaches you how to quickly track down and fix real-life IT issues.
You will learn a bunch of great strategies to tackle the problems in your code. In a nutshell, you learn how to approach almost any technical problem smartly.
This course comes with a bunch of real-world technical problems, like:
- General system issues
- Issues with software written by someone else
- Bugs in your code
To make the most out of this course, you should have taken the previous courses in this specialization.
Course 5: Configuration Management and the Cloud
The fifth course of the specialization teaches you how to automatize managing multiple computers.
You will learn how to deploy new computers, keep them up to date, and how to manage large-scale changes. You will use both physical devices as well as virtual machines in the cloud.
The course starts by teaching you what is Configuration Management. You will learn how to use the de-facto configuration management system called Puppet. This course starts with simple configuration management examples and then proceeds to more complex cases.
Later in this course, you expand this knowledge to handle and troubleshoot dozens of virtual machines running in the cloud.
Course 6: Automating Real-World Tasks with Python
The final course of the specialization combines everything you have learned.
The course offers you complex real-life challenges in Qwiklabs.
First, you learn how to use common Python libraries to extend your code. These libraries consist of reusable code written by someone else. You will also learn how to read documentation to learn how to use modules.
After learning how to use libraries, you will learn how to make your code communicate with other programs. In short, you learn what is an API and how to use APIs. This means you learn how to use data serialization to turn code objects into messages that can be sent over the internet.
Last but not least, you are going to complete a capstone project. The idea is to solve a real-life customer problem. More importantly, it is up to you how to solve it!
6. Python for Data Science and Machine Learning Bootcamp
Python for Data Science and Machine Learning Bootcamp is a comprehensive Data Science course. This course is taught by one of the popular faces on Udemy, Jose Portilla.
The main goal of this course is to turn you into a full-on data scientist. The course teaches you how to use Python to analyze and visualize data. In addition, you learn how to implement machine learning algorithms to solve business problems.
But why include a data science course in a Python course article?
Data Science, Machine Learning, and Artificial Intelligence are among the most in-demand jobs at the moment. Chances are you landed here because you want to become a data scientist. If this is the case, this course is exactly what you want.
If you don’t have previous programming knowledge, please pick one of the Python courses introduced earlier. After completing one, come back here and become a data scientist!
If you are an experienced software developer looking to make a change to data science, this course is also for you.
Unlike most of the other courses on this list, this course assumes you have some knowledge of programming.
| Rating | 4.6 |
| Students Enrolled | 544,186 |
| Certification | Yes |
| Paid | Yes |
| Content | 25 hours of video, 13 articles, 5 downloadable resources |
| Instructor | Jose Portilla |
| Refund Policy | 30-Day Money-Back Guarantee |
What You Will Learn?
This course teaches you the basics of Python and data science. Some of the key learning highlights of the course include:
- Using Python for Data Science and Machine Learning
- Understanding and implementing Machine Learning Algorithms
- Learn how to use popular Data Science Libraries like Pandas, Seaborn, SciKit-Learn
- Understanding Machine Learning Methods like
- Linear Regression
- Logistic Regression
- Random Forest
- Decision Trees
- K-Means Clustering
- How Natural Language Processing works and how to implement Spam Filters
Course Requirements
Who Is This Course For?
This course is for those who want to become data scientists.
This course assumes you have some programming knowledge already!
Notice that you don’t necessarily need to know Python as long as you know some other language. There is a crash course on Python at the beginning of the course.
This course is good for experienced developers who have no Python/Data Science background.
7. Introduction to Scripting in Python Specialization
Introduction to Scripting in Python Specialization is a specialization of 4 separate courses. This specialization launches your career as a Python programmer. You will learn essential Python scripting skills to solve real-world problems.
If you are a beginner looking to master essentials in Python programming, this specialization is for you.
This specialization builds a solid foundation for a career as a data scientist, software engineer, or other programming discipline.
| Rating | 4.7 |
| Students Enrolled | 38,209 |
| Certification | Yes |
| Paid | Yes |
| Content | – Course Videos & Readings – Practice Quizzes – Graded Assignments with Peer Feedback – Graded Quizzes with Feedback – Graded Programming Assignments |
| Instructor | Scott Rixner |
| Refund Policy | 7-Day Free Trial |
What You Will Learn?
This specialization teaches you the basics of Python scripting using the Python 3 programming language. Some of the learning outcomes of this specialization are:
- Python Syntax and Semantics
- Debugging your Python programs
- Basic Python Data Structures
- Data Analysis
- Data Visualization
- Codeskulptor
Course Requirements
🖥️ The only requirements for this course are a computer and an internet connection.
Who Is This Course For?
This course suits beginners that want to master essential programming skills.
This specialization is an ensemble of four separate courses that relate to one another.
Course 1: Python Programming Essentials
This specialization starts with a thorough introduction to the realm of Python programming.
This course teaches you the basics of programming and how to write programs using Python. The course is taught in the newest version of Python, that is, Python 3.
You learn concepts like expressions, variables, functions, logic, and conditionals. These are the basic building blocks of any programming language, not just Python.
You will also learn how to use Python modules. In other words, you learn how to reuse ready-made code to solve problems much quicker.
After completing this course, you know how to think like a programmer. In addition, you know how to write your own Python programs.
This course is a great primer for the following courses in the specialization. In addition, it is a great introductory course to programming and Python as a standalone course too!
Course 2: Python Data Representations
This course is a logical continuation of the first course in this specialization.
This course teaches you about commonly used data types and data structures in Python. These include strings, lists, and tuples. All the more sophisticated Python programs use these data types.
You will also learn how to read and write files using Python. This is an essential skill for any developer. Reading and writing to files make data manipulation possible.
For instance, a data scientist commonly reads Excel or CSV files that consist of millions of data entries. Doing this manually would be impossible. A better option is to write a Python program that reads and manipulates the files.
Thus, understanding how to work with files in Python is an essential skill you need to have. This course makes sure you learn how to handle files before moving on.
Course 3: Python Data Analysis
Python Data Analysis is the third course in the specialization. It teaches you how to read, store, and process tabular data.
In the previous course, you dealt with text files. However, as you learned, data scientists need to work with CSV and Excel data a lot. In this course, you get to taste working with CSV files in Python.
To put it short, a CSV or Comma-Separated Values is a data format used to represent tabular data. It is one of the most commonly used data formats. It is lightweight and easy to work with.
Learning how to work with CSV helps you develop professional and versatile programming skills. Furthermore, it allows you to process big chunks of complex data in an easy way.
Course 4: Python Data Visualization
The last course in the specialization is Python Data Visualization.
Thus far you have learned how to write Python programs and deal with large quantities of tabular data.
One of the most common things to do with data is to visualize it. Data visualization makes it easier for us humans to understand the nature of the data in question. Data visualization is an important skill of any data scientist.
This course teaches you the basics of data visualization using Python. This involves:
- Installing and using data visualization packages
- Retrieving data from the internet using network requests and APIs
- Cleaning, processing, and analyzing the data
After this course, you know how to obtain, handle, and visualize data. You also know how to retrieve data into your Python program over the internet.
You’ll also see how easy it is to install useful Python packages to streamline the coding process.
8. Learn Python 3
Learn Python 3 is a beginner-friendly course that teaches you the basics of Python 3. Unlike most of the other courses on this list, Learn Python 3 is a much shorter and more compact course.
If you don’t know whether you are into programming or not, but want to give it a try, this is a great course for you.
If you work a couple of hours a day, you get it done in a week. Better yet, you get a certificate you can add to your resume.
Throughout this course, you also build three cool programs you can add to your portfolio.
What You Will Learn?
You will learn the basics of the Python 3 programming language. Some of the key concepts are:
- Python’s syntax
- Control flow
- Data structures
- Loops
- Functions
- Handling files
- A bunch of coding challenges
Course Requirements
🖥️ The only requirements for this course are a computer and an internet connection. No previous coding experience is expected!
Who Is This Course For?
This course is a great choice for anyone who wants to learn to code but does not know where to start.
Also, if you know other programming languages and want to learn Python, this course is a wonderful option.
Conclusion
I hope you got a nice overview of a bunch of the best Python courses and specializations out there! All the programs include a nice certificate you can share with recruiters. In addition, each course comes with great projects to add to your online portfolio.
To recap, Python is still a skill worth learning today. It is not going anywhere in the near future. These days, Python can be applied to almost anything.
Python is an in-demand skill in the job market. It has gained hype in the past couple of years due to rapid developments in Data Science, Machine Learning, and Artificial Intelligence. Python is the de-facto language of each of these technologies.
To become a job-ready Python developer, you need guidance in the right direction. The best way to accomplish this is by taking a comprehensive course/specialization in Python.
The courses introduced in this article are run by experts in the field. They know what skills recruiters are looking for. They teach you relevant skills in an easy and comprehensive manner.
Even though there are great free resources on the internet, most of them lack comprehension and thoroughness. Usually, a free course is a scratch of the surface, whereas a thorough course can turn you into a job-ready developer!
- 📚 Read also How to Start Learning Python.
- ⏱️ To get an idea of how long it takes to “master” a programming language, read How Many Hours to Learn Programming.
Thanks for reading.
Happy coding!