As one of the most popular programming languages in the world, Python is essential to many data science and web development professionals. An object-oriented language, or OOP, Python helps users integrate systems efficiently. Its easy syntax, and multiple well-known libraries like Pandas and Matplotlib, make it an ideal entry point for programming beginners.

You can find numerous resources about Python online, and its open-source license means you can download and experiment with it at no charge. However, this benefit has a downside: a Google search for Python programming delivers nearly 1.8 billion results. That’s a lot of information, some of which can be confusing, or even downright misleading.

Separating the Wheat from the Chaff

While beginners can certainly benefit from learning Python from resources like Noble Desktop’s Tech Blog, the massive amount of Python-related data can be overwhelming. To winnow out the best resources, it’s best not to lean too much on free articles and videos. That means taking a course, or a series of courses.

Once you’ve done some research, you still might need more information before deciding how to best approach learning Python. The primary question to keep in mind is how you will use it.

Python for Data Science Bootcamp: Live & Hands-on, In NYC or Online, Learn From Experts, Free Retake, Small Class Sizes, 1-on-1 Bonus Training. Named a Top Bootcamp by Forbes, Fortune, & Time Out. Noble Desktop. Learn More.

Consider the following tech positions that can require Python expertise:

Those are a few of the top roles that rely on Python. Let’s look at what some of them involve:

  1. Software Engineer - These highly skilled professionals can design, create, and test applications, games, and even operating systems. They analyze user requirements, write code and documentation, and work closely with clients. Python is only a part of their knowledge base, which can also include Ruby, R, and JavaScript, as well as tools like PHP, SQL, and Perl, to name a few.
  2. Data Scientist - The data science field encompasses mathematics, probability, and statistics, and Data Scientists may use essential tools like Pandas, NumPy, and Matplotlib. Data science typically requires expertise in languages like Python, Java, and R, and knowledge of cloud architecture, data wrangling, and deep learning. The U.S. Bureau of Labor Statistics projects a 22% growth rate for this field between 2020 and 2030, significantly higher than the national average.
  3. DevOps Engineer - Development & Operations Engineers work with development professionals, administrators, and others to analyze and resolve technical issues, release code updates and fixes, and facilitate automation. DevOps Engineers can use Python to write automation scripts, build custom utilities, and solve programming challenges.

Because Python is so valued in many sectors, acquiring targeted training is essential. Getting the training you need for a specific position can save time, money, and frustration.

The Value of the Bootcamp Model

When learning a universally known language like Python, bootcamps and certificate programs offer a unique advantage over both short workshops and four-year degree programs: they provide immersive training within a condensed time frame.

Let’s consider the following seven programs from Noble Desktop.

  1. Python Developer Certificate - If you know you want to work on the development side, you can get your Python training through this program in three weeks full-time. Applicants should have experience coding HTML and CSS prior to enrolling.
  2. Data Science Certificate - Want to learn Python as part of a broader data science curriculum? This certificate is for you. Students gain mastery of Python libraries like Matplotlib, Pandas, NumPy, and Scikit-learn, as well as tools like SQL and Jupyter Notebook.
  3. Software Engineering Certificate - Noble Desktop’s Software Engineering Certificate is one of its most comprehensive course offerings. A 384-hour program, this certificate covers the following topics, among others:
    1. Python
    2. HTML/CSS
    3. JavaScript
    4. React
    5. Django REST
    6. Node.js
    7. Express.js
    8. MongoDB

Class sizes are kept small for this essential certificate, which also includes eight 1-on-1 mentoring sessions.

  1. Data Analytics Certificate - If you’ve already mastered Excel fundamentals and want to prepare for a Data Analyst or Business Analyst role, consider the Data Analytics Certificate. You’ll expand your Excel knowledge to include data analytics, then learn Python in-depth, plus Tableau for data visualization. The course includes 120 hours of hands-on instruction.
  2. FinTech Bootcamp - Are you new to Python but familiar with advanced financial concepts like net present value and internal rate of return? This certificate program will prepare you for an entry-level role in FinTech or data science. You’ll finish up with a Python for Finance Bootcamp, after completing courses in Python for Data Science, Automation, and Machine Learning.
  3. Python for Data Science Bootcamp - Noble’s Python for Data Science is a 30-hour bootcamp open to beginners. It covers topics like linear regression, arrays and data frames, and data visualization. Students can save by taking this bootcamp as part of a program like the Data Science or Data Analytics Certificate.
  4. Python Programming Bootcamp - Like the Python for Data Science Bootcamp, this 30-hour course is perfect for programming beginners. The emphasis is on Python fundamentals, developing Python programs, then working on real-life projects to build a coding portfolio.

Some bootcamp modules are offered separately, though students can save by taking them as part of one of the comprehensive certificate programs. You can save if you take the Python Programming Bootcamp as part of the Python Developer Certificate. Similarly, you can take the Python for Data Science Bootcamp as part of the Data Science or FinTech Bootcamp certificate.

What Alumni Say

Graduates of Noble Desktop bootcamps report positive experiences, from attentive instructors to challenging but worthwhile course curricula. Reviews of Python classes from alumni include the following:

  • “Enrolling in the Python for Data Science course was the best decision I could have made for myself and my advancing career.”
  • “Terrific curriculum and content, a world-class instructor, and hands-on practice. Couldn’t have asked for a better experience.”
  • “I was amazed by how much they put into their students. Best Python bootcamp out there.”
  • “This course prepared me well to use and apply Python…a thorough, yet understandable, curriculum.”
  • “As an experienced analyst looking to expand my skill set to include Python, this class was ideal.”

Learn more about Noble Desktop Python programs.