Learn Python: The language of the future

By successfully completing all the courses in CodingNomads beginner-to-professional career tracks, linked below, you'll possess professional-level skills in your area of study, and will qualify for junior-level positions.

Click on a career track to see what you'll learn in each of our Python bootcamps:

• Data Science + Machine Learning + AI Career Track
• Python Full Stack Web Development Career Track

Career tracks contain multiple courses that go from beginner to professional.

The Python 101 course is the first course in each of our two Python career tracks:

• Python Data Science + Machine Learning + AI Career Track
• Python Full Stack Web Development Career Track

To learn Python basics and Python for beginners, start with Python 101.

We have three enrollment options with varying levels of access and support.

1. Enroll for free: Track your progress and access thousands of pages of documentation.
2. Premium Membership: Access all the videos and interactive content, apply for certificates, and join our Discord forum.
3. Bootcamp Mentorship: get dedicated support from technical and career mentors - our version of an online coding bootcamp.

See pricing and enrollment options.

Bootcamp mentorship programs help you learn faster and keep a strong pace, and also give you professional insight and a community to learn with.

In the bootcamp mentorship program, you’ll be paired 1:1 with a technical mentor for weekly meetings and 24/7 access to reach out to the entire community for guidance and support when you need it. After you complete the curriculum with technical mentorship, you can enroll in career mentorship to help you land your next job.

Read about our online coding bootcamp mentorship programs.

No. All lectures are pre-recorded, so you can complete the curriculum on the schedule that works for you.

The only live requirements are in our coding bootcamp mentorship programs, where you meet each week with your mentor.

Yes. Certificates are available if you are enrolled in Premium Membership or Mentorship. Here’s how to receive your Python certification:

• If you are enrolled in Premium Membership or Mentorship, you can request a certificate at the end of each course. If you enroll in a career track program, most students request one comprehensive Python certification at the end, but you can request a certificate for each individual course if you choose.
• We review your work and provide feedback for any remaining elements needed to issue your certificate.
• Once you meet the graduation criteria, we'll issue your certificate to the email associated with your account.

Is there a Python certification exam?

We do not have one singular, comprehensive Python certification exam. Instead, each of our courses includes quizzes, lab assignments, journal entries, and projects that all must be completed in order to receive a Python certification

As you can probably guess, how long it takes to learn Python depends on your previous experience and your learning speed.

On average, for students studying part-time, beginner students need 2-4 months to learn Python basics, and another 3-6 months to learn advanced Python skills in data science or web development. In total, on average, students need 5-10 months studying part-time to go from beginner to professional in Python web development. How long to learn Python breakdown:

2-4 months: Learn Python basics, SQL, APIs, Git & GitHub.

3-6 months: Learn Python advanced courses. To qualify for most professional jobs, you’ll need to pair your Python programming skills with an advanced specialization in Python Data Science + Machine Learning, Deep Learning with Python, and Python Full Stack Web Development.

1-6 months: Job search. In addition to learning Python, you’ll want to consider the time it will take you to get a job. This can sometimes be the toughest part. Don’t worry, though, because we can help you out with career mentorship.

If you plan to study full-time, great! You can expect to learn faster than the average times mentioned above.

That said, learning to code is not just about reading curriculum and watching videos. To become a professional, you must do the work. Writing code and building projects from scratch takes time, no matter how many hours per week you study.

To go from beginner to professional studying full-time, you should still expect a minimum of 4-6 months to gain the proficiency to build a job-worthy portfolio project, pass technical interviews, and succeed on the job.

Yes. We teach the real-world tasks of software engineers, so you get plenty of practice building projects using professional developer tools and IDEs. In order to receive a certificate of completion, you must complete the project assignments within each course.

Course structure

Our curriculum generally follows a “read something, watch something, do something” format:

• First, you read documentation that introduces a concept.
• Next, you watch a video that demonstrates the concept.
• Finally, you practice writing the concept in your IDE through lab exercises, assignments, quizzes, journal entries, project assignments and more.

Our curriculum may not include a video or assignment for every concept, but at the end of each course you’ll have the opportunity to implement all learned concepts into your capstone project.

Python has become the darling of the data community, because it’s easier to work with than other programming languages like R, C, and even Java. But that doesn’t mean it’s easy.

Whether or not Python is hard to learn depends on you. If you enjoy problem solving, logic, data, numbers, and trying new things until you figure something out, learning Python may come easier to you.

If spending hours scouring code to find the tiny little bug that’s breaking the whole thing sounds like a nightmare to you, Python may be harder to learn for you.

Becoming proficient enough to get a job using Python will take months of dedicated study. At some point, you’ll certainly find yourself confused, stuck or frustrated. But if you can embrace the challenge and stay self-motivated to figure it out, learning Python is worth the effort!

Python is an open-source, general purpose programming language widely used in data science, machine learning, web development, application development, automation, Fintech, and more.

Python is a server side language, also known as a back end language. This means Python runs on the server, and is responsible for processing the logic behind user inputs, interacting with databases and other servers, etc.

In recent years, Python’s popularity has surged because of its extensive resources and libraries built for data science, machine learning, data visualization, and artificial intelligence (AI).

To learn more about what Python is and why it’s worth it to learn Python, check out our blog: Why Learn Python.

Python is used for many things, primarily:

• Data science: machine learning, deep learning, AI, data visualization
• Web development
• General software application development
• Scripting and automation
• Financial analysis and modeling

For more details about what Python is used for, check out our blog: What is Python Used For?