What is the Fastest Way to Learn FinTech?

Whether you’re looking to start a new career, upskill to land a promotion, or need to learn a new skill for a project at work, you may need to learn FinTech quickly. This article will explain the different ways to learn FinTech and how quick those methods are to help you determine which type of class will work best for the time you have to learn the FinTech skills you need. 

Free Resources: Learning the Basics

You can turn to the internet or your local library to learn FinTech for free. Online videos and books provide learners with a quick way to learn the basics of FinTech, including financial literacy, accounting, and Python programming. YouTube and other video hosting websites can offer you free access to tutorials on basic FinTech concepts. Experts in the field often upload guides to their YouTube channels, either through one video or a series of videos. You can also look for FinTech guides online or in books to help you understand basic concepts and troubleshoot common problems. 

Free resources provide learners the chance to learn FinTech without breaking the bank. It’s important when looking for resources to find ones that are trustworthy, reliable, and up-to-date. Because online resources don’t usually update as frequently as the curriculum of a training class under live instruction, it’s important to do your research and make sure that the resources you’re using aren’t covering outdated information. 

Free resources can help you learn related topics. FinTech is a broad field, covering aspects of both the financial industry and the technology industry. If you’d rather involve yourself in only one of those industries, you can learn the basics in the same way that a student learning FinTech would. Free resources provide a great means for learning topics like finance, accounting, and data science. However, if you plan to dive into the world of FinTech and work toward a career in the industry, free resources may not provide enough training. 

Introductory Classes: Students Looking to Learn the Foundations of Tableau and Data Visualization

Introductory classes provide greater in-depth training than free resources do. Noble Desktop and other professional training providers offer introductory-level FinTech courses for beginners. These classes cover the basics of FinTech topics and will offer you the chance to gain hands-on experience. Classes typically last a few hours over one day or spread across two to three days, so they provide students with a low-commitment means of learning the basics. Expert instructors teach classes, guiding students through lessons, offering feedback, and answering questions. Most training centers offer classes in-person and online, part-time or full-time, on weekdays, in the evenings, or on weekends. 

Introductory classes focus on the foundations, so students shouldn’t expect to dive into advanced-level concepts or skills when enrolled in an introductory class. These classes rarely have prerequisites, with most students signing up with no prior experience in finance or technology. Professionals can enroll in introductory-level classes if they would like to brush up on their skills. 

Certificate Granting Programs: For Aspiring Professionals

Developing FinTech skills can help you begin an entry-level career in FinTech, but developing career-ready skills is what will make you a standout candidate. Certificate-granting programs can help you begin a career as a Financial Analyst, Data Scientist, Software Engineer, or Product Manager. These programs aim to help aspiring FinTech professionals develop the technical training needed to succeed in the field. Most certificate programs last several weeks to months, ensuring that students cover beginner, intermediate, and advanced-level skills while working on real-world projects and, in some cases, developing a career-ready portfolio. 

The training offered by certificate programs is more advanced than the training found in an introductory-level class. Introductory-level classes focus on developing foundational skills while certificate programs aim to help students become career-ready. This can mean taking students from no prior knowledge to expert-level knowledge. Many certificate programs include real-world final projects that students will work on alone or with partners to gain experience that they can later apply in the workplace. 

On-Demand Courses: For Motivated Learners

On-demand training platforms offer introductory and advanced-level FinTech courses. This training type works best for students who need to learn FinTech quickly, but don’t have the time to attend a scheduled class. On-demand classes provide instant access to lessons, but finishing these lessons can take varying lengths of time. 

Some on-demand programs make students unlock lessons as they finish them, while others provide access to all lessons at once. Modules often include access to pre-recorded video lectures, reading assignments, and worksheets. On-demand classes lack a live instructor, which can require students to have a motivated learning style to complete the class. 

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.