Is 30 Too Old to Learn Python?

Although some people wonder whether they are too old to master Python, the truth is that you can learn the popular programming language at any age. Many instructors report that thirty-something students are among their best learners.

In many ways, learning Python when you are thirty-plus is the perfect time. Students who learn to code in high school or earlier often know only the basics. Chances are good that you are at the top of your game in your thirties. Whether you are contemplating a career change where Python is the ideal skill set for your next role or looking to level up from an existing position, it's never too late to study this essential programming language. Read on for more about the advantages of learning Python in your thirties.

Why Learn Python at 30?

The reasons for learning Python in your thirties can be as varied as the many students who do so. Some professionals want to change careers without getting another degree, whereas others look to advance in their current field. Fortunately, Python is among the most beginner-friendly programming languages out there.

You can still learn Python even if you don’t have a computer science degree. Thanks to the many available tutorials, seminars, bootcamps, and certificate programs, you can start from any point and learn fundamental, intermediate, and advanced Python skills.

Consider the Learn Hub from Noble Desktop as your first stop for learning Python. Here, you’ll find many articles and recorded video tutorials about Python for data science and development, including topics like the built-in Python range function, numeric data types, and solving palindromes, to name a few.

From there, you can determine which type of bootcamp or certificate program will be the fastest, most cost-effective way for you to master Python. Read on to find out how long it will take and how to make your Python training as painless as possible.

How Long Will It Take to Learn Python?

If you want to master Python for data science, an immersive program like the Data Science Certificate from Noble Desktop can give you the tools and skills you need in four weeks full-time or 20 weeks part-time. The program covers Python and related topics like:

• SQL for communicating with databases
• NumPy and Pandas for data analysis
• Matplotlib for graphs and visualizations
• Dash Enterprise for interactive dashboards
• Scikit-learn for logistic regression

If you want to learn Python within a broader data analytics curriculum, consider the Data Analytics Certificate. This immersive certificate includes Python for data science, automation, and data visualization, among other topics. Beginners are welcome and can finish in six weeks full-time or 24 weeks part-time.

Are you planning to use this popular programming language as a Python Developer or Software Engineer? You can get Python training as part of a broader development or software engineering curriculum through Noble Desktop. The Python Developer Certificate is a fast, easy way to begin, with a combined Python Programming Bootcamp and Python Web Development with Django course. Early registrants may also be eligible to receive a bonus Python elective at no additional charge. Check course listings for details, including any prerequisite information.

If you plan to learn the complete development process, you can save money by taking the Python Developer Certificate curriculum as part of the 510-hour Software Engineering Certificate. One of Noble’s most comprehensive programs, this certificate covers front and back-end development, including the MERN tech stack (MongoDB, Express.js, React, and Node.js), HTML/CSS, Python, and JavaScript. The course is available for 20 weeks full-time and is open to beginners.

Finance pros can get in-depth Python training through the FinTech Bootcamp. This 114-hour course covers gathering financial information with Python and advanced concepts like indefinite loops, slicing data types, and Groupby in Pandas. However, applicants should be familiar with Python data science and financial concepts like IRR and NPV before enrolling. Check course listings, as sessions fill up quickly, and you may need to be wait-listed.

Ways to Make Learning Python Easier and Quicker

If you want to go from having no experience to becoming a Python expert, enrolling in a bootcamp or certificate program is the fastest and easiest way. Starting with free tutorials or seminars can give you a bit of background, but for the best results in the shortest timeframe, bootcamps rule the roost.

Among the advantages of the bootcamp training model is that bootcamps and certificate programs are typically live. There are multiple benefits to live training, but the primary consideration is the level of student engagement. In-person or live online courses offer the experience of training directly with an instructor, which has the highest possible level of engagement.

If you plan to use Python for a career in data science, analytics, or development, a bootcamp or certificate program will likely be your best option. You can go from beginner to confident user in a few months part-time or even weeks full-time. Consider the following classes as examples:

One of Noble Desktop’s fundamental courses is the 30-hour Python Programming Bootcamp. If you’re a beginner, you can start here or save money by taking the bootcamp as part of the Data Science Certificate, FinTech Bootcamp, or Python Developer Certificate program. Students receive an additional 1-on-1 training session outside the group class.

A course like the Python for Data Science Bootcamp from Noble Desktop can take you from a Python beginner to a confident user. You’ll learn and apply lessons about data visualization, arrays and data frames, and machine learning. However, if you plan to work in data science, you can save by taking the 30-hour Python for Data Science Bootcamp as part of Noble Desktop’s Data Science Certificate program.

Another immersive course is the 30-hour Python Machine Learning Bootcamp, covering regression analysis, classifications, and decision trees. Applicants should have experience comparable to that gained in the Python for Data Science Bootcamp. You can also save by taking this Python Machine Learning Bootcamp as part of Noble’s Data Science Certificate program.

The 18-hour Python for Finance Bootcamp may work best within the confines of the 114-hour FinTech Bootcamp curriculum. However, Noble Desktop offers Python for Finance separately if applicants are familiar with Python data science and financial concepts like IRR and NPV. Check listings for more detailed information.

Learning Python Part-Time Vs. Full-Time

Some students prefer to learn Python full-time, whereas work or family obligations require others to take classes part-time. Of course, if you plan to learn quickly, a full-time commitment will get you there sooner. However, many of these bootcamps and certificate programs are also available part-time, so consider how the timeframes differ for each:

The immersive Data Science Certificate is among the most popular Noble Desktop courses. This beginner-friendly program covers data science fundamentals, including in-depth Python training, that prepare attendees to qualify for entry-level data science or analysis roles. You can complete this certificate in four weeks full-time or 20 weeks part-time, for a total of around five months. While the full-time schedule runs on weekdays, the part-time option runs on evenings or Saturdays.

Noble’s Data Analytics Certificate program runs even longer, six weeks full-time or 24 weeks part-time. However, note that the part-time schedule is in the evenings, without including a weekend option. Most participants prefer to learn full-time if possible.

Finance professionals over 30 can get their Python training through the FinTech Bootcamp from Noble Desktop. This course is available in four weeks full-time or four months part-time and runs evenings or Saturdays for maximum flexibility. Applicants need not be familiar with Python but should have finance knowledge like stock basics, NPV, IRR, and financial statements.

Noble’s Python for Data Science Bootcamp is available as a separate module for one week, full-time, or one month if taken part-time, for two nights a week. The 30-hour program is also open to Saturday-only attendees. However, remember that you can save money by taking it as part of the FinTech Bootcamp or the Data Science or Data Analytics Certificate.

Another option with flexible scheduling is the Python Machine Learning Bootcamp. The 30-hour unit is available in one week full-time or part-time in around four weeks. Applicants taking this bootcamp as a separate unit should be familiar with the concepts from Noble’s Python for Data Science Bootcamp before enrolling. Remember that you can save on tuition by taking the Python Machine Learning Bootcamp within the Data Science Certificate program.

Beginners looking to jumpstart their Python and ML training can get it through Noble’s Python Data Science & Machine Learning Bootcamp. The course is available in one week full-time, four weeks part-time evenings, or on Saturdays. Check course listings for detailed scheduling options.

Python Data Visualization & Interactive Dashboards is another 30-hour unit for getting Python training quickly. It is available for one week full-time or one month if taken part-time, for two nights a week. You can save money by taking it as part of the Data Science or Analytics Certificate program. Check listings for prerequisite information.

Remember that some bootcamps are available full-time only as separate modules. However, you can often save money by taking them as part of a broader certificate program, which may offer part-time and full-time options.