Is 30 Too Old to Learn FinTech?

It’s never too late to begin learning FinTech. No matter your age, you can begin picking up the necessary skills in no time. Students and working professionals of all ages and at all stages of their careers have developed new skills and knowledge to help them transition into the FinTech industry. With free resources at the click of a button and in-depth, hands-on training available, learning FinTech has never been easier. 

Why Learn FinTech at 30?

No prior skills or knowledge of FinTech is required to begin learning, meaning that just about anyone can start learning at any stage of life, especially those aged 30 and older. Although it helps to begin learning with a background in finance and/or technology, you can start learning FinTech from scratch. Most people looking to learn FinTech do so because they’re looking to start a new career or because they want to advance within their current field. As a result, many individuals looking to learn FinTech are around 30 years old. 

If you feel stuck in your current career and want to make a change, learning FinTech skills can help you make that change you’re looking for. FinTech skills are transferable across fields, including business and tech-related fields. Developing FinTech skills can make you an attractive candidate to potential employers, and advanced-level FinTech skills can help you enter a niche area of the industry. Developing FinTech skills through a FinTech program, like financial analysis, forecasting, and Python programming, and then showcasing them on your resume or portfolio during a job search will show potential employers you have the skills that their company needs. 

By the time you’re 30 years old, you’re probably familiar with your learning needs. Knowing your learning style will help you out when it’s time to learn FinTech. If you know that you want as much face-to-face interaction as possible and prefer structured learning, you probably want to enroll in an in-person FinTech class. If you’re comfortable learning remotely and would rather learn at home, a live online course is probably right for you.

How Long Will It Take to Learn FinTech?

Learning the basics of FinTech takes roughly three months. In those three months, you can learn about the industry and start developing skills that will help you start a career in FinTech, such as financial reporting, financial analysis, and data science. Enrolling in an introductory FinTech class will provide you with the opportunity to explore whether FinTech is the right field for you. If it is, enroll in a FinTech bootcamp to learn foundational FinTech skills. Intermediate-level FinTech skills take around six months to develop. During those six months, students have usually mastered the basics of FinTech and better understand how FinTech converges finance and technology.

You can master FinTech in roughly one to two years. Doing so will take lots of studying and practice. If you’re looking to master FinTech, it’s recommended that you attend comprehensive classes or enroll in a degree program. Long-term FinTech bootcamps cover specific areas of FinTech and FinTech more generally, in a condensed period. For a longer learning experience aimed at helping students develop career-ready skills, enroll in a certificate course. 

How long it takes you to learn FinTech partly depends on your learning methods. The more time you spend practicing, the faster you’ll master new skills. FinTech classes will help you gain hands-on experience and work on practical projects, but it’s also important to work on developing your skills outside of class. You can do this by seeking out resources online or working on side projects. Some instructors will also assign students homework so that they can gain extra experience outside of class. 

Ways to Make Learning FinTech Easier and Quicker

Sign up for live FinTech training to make learning FinTech easier and quicker. Live training comes in a range of modalities and schedules, from in-person to live online training, and part-time to full-time schedules on weekdays, evenings, or weekends.

In-person FinTech classes take place in a classroom or computer lab during weekdays, evenings, or weekends. This mode of learning suits students who need face-to-face instruction in a traditional learning environment. Live in-person FinTech training provides students the chance to see in-depth demonstrations from their instructor and allows them to work with their classmates. Students often prefer live in-person training because it’s structured in a way that’s familiar to them from their previous time in school and because they have the chance to interact with an instructor who will answer their questions and provide them with feedback. 

The main drawback to attending an in-person class is the need to commute. The need to commute to a physical location is a drawback of attending an in-person class. In-person classes tend to be held in metropolitan cities, so many would-be students do not have the opportunity to enroll. In that case, they can turn to live online classes. 

Live online classes take place in a remote classroom held over a web conferencing program like Zoom or Microsoft Teams. Students log in and learn from a live instructor among other students. Live classes emphasize hands-on learning, although the experience slightly differs from that of an in-person class. Live online classes typically take place in the evenings and on weekends, but some schools hold them on weekdays too. This flexible learning option gives students who may otherwise not have the chance to attend a live class the opportunity to do so without sacrificing major changes to the class curriculum. 

Most training centers offer FinTech programs in part-time and full-time schedules. Part-time courses allow students to schedule classes around their work and school schedules, as many take place in the evening or on weekends. Part-time courses allow students to fully grasp the material before having to move on due to their more drawn-out nature. 

Full-time programs usually run all day long during the week, although some shorter full-time programs may take place throughout the weekend. This intensive learning schedule allows students to learn material faster than they would in part-time classes. However, it’s important to note that full-time classes can still run for weeks or even months, depending on the topic. The pricing for part-time and full-time programs is usually the same, so most students make the decision based on their schedules without the need to factor in pricing. 

Learn FinTech with Noble Desktop

Learn FinTech skills by enrolling in one of Noble Desktop’s FinTech programs. Noble Desktop offers most classes live online, where students will learn under the guidance of an instructor via a web conferencing platform, and in person at their midtown Manhattan campus. 

Noble’s FinTech Bootcamp is an interactive program covering the essential skills needed to begin a career in the FinTech industry. Under the guidance of an instructor, you’ll learn Python programming, data science, financial analysis, data visualization, and machine learning. Noble Desktop offers the bootcamp in a 4-week full-time schedule on weekdays, or a 4-month part-time schedule on evenings and Saturdays. In addition to five units covering Python and SQL as used for FinTech, you’ll also have the option of choosing a bonus 18-hour elective unit covering either Python or financial modeling. 

Students pursuing or currently in a finance-related profession, interested in using Python’s financial libraries to manipulate and analyze financial data, should enroll in Noble Desktop’s Python for Finance Bootcamp. Over the 18-hour live online course, students will learn how to use Python’s financial libraries and gain hands-on experience gathering and manipulating financial data, fetching APIs for company and economic data, analyzing SEC financial statements, building risk models, and applying linear regression for stock price predictions. Aside from a financial background, students should also have taken Noble’s Python for Data Science Bootcamp, or have equivalent knowledge. If you want to take the course but don’t think you have the financial background necessary, contact Noble after registration to access a free on-demand supplemental guide. 

Financial modeling plays an important role in the FinTech industry. Analysts working for a firm or taking on clients should understand how to use financial models to predict risk and evaluate and compare financial decisions. In Noble Desktop’s Financial Modeling Bootcamp, you’ll learn essential financial and accounting concepts as you work toward gaining the core skills required for a career handling equity research, financial planning and analysis, investment banking, private equity, or corporate finance. Prior financial experience is helpful when enrolling in the bootcamp, but not required. After completing the three-day course, you’ll receive a verified digital certificate of completion and have access to a retake for free within one year. 

Noble Desktop’s beginner-level Data Science Certificate program will provide you with the hands-on training needed to start an entry-level data science or Python engineering position. Spend four weeks full-time (weekdays) or 20 weeks part-time (evenings or Saturdays) learning how to program with Python, perform data analysis, query with SQL, and create predictive models. You’re guaranteed to succeed in this class as you spend 114 hours plus an additional six 1-on-1 mentoring sessions, where you’ll receive professional advice, detailed and personalized feedback, and map out your learning goals. No prior knowledge is required to enroll, making the class ideal for individuals looking to get started with data science, Analysts who want to transition to using Python and SQL, and Developers looking to gain additional skills.

After completing Noble Desktop’s Data Science Bootcamp, you can enroll in AI for Python, a hands-on course that covers the development of AI apps. You’ll receive an introduction to AI using Python at a beginner and intermediate level. The course includes lessons to help you develop theoretical and practical knowledge so that you have a strong enough understanding of AI concepts, along with practical experience with Python libraries. The 30-hour class will introduce you to ChatGPT, algorithms, and how to deploy your app.