How Long Do FinTech Courses Take?

FinTech classes vary in length, making it important for you to consider the time you have in your schedule to devote to learning before enrolling in a class. The amount of time you have to learn and practice will directly impact how quickly you learn FinTech. The more time you have to learn and practice, the more quickly you’re likely to develop the skills you need. This article will help you learn how long different FinTech classes last so that you can determine which type suits your schedule. 

Length of Classes

Your prior experience with FinTech concepts and software, as well as your motivation to learn, will influence how long it takes you to learn FinTech concepts like data science, financial analysis, and Python programming. When considering the length of a FinTech class, also consider the time you have available. Training schools and centers usually offer short-term classes, which may last one to two days, bootcamps, which can last several days or weeks, and certificate programs, which often take place over several weeks or months. You may also have the option of choosing between part-time and full-time programs, with part-time classes drawing out lessons and full-time classes following an accelerated pace. The curriculum covered can also depend on the length of the class.

Introductory Classes

Introductory classes provide beginners with short introductions to FinTech. Classes may last one or several days, in part-time or full-time offerings. FinTech is a broad subject, with classes covering a wide range of topics, such as data science, financial analysis, machine learning, and programming. When selecting an introductory class, you can expect to learn the basics of the topic you have chosen. Introductory data science classes, for example, will cover the essentials of data management and working with data. Introductory machine learning classes likely have prerequisites that you’ll need to know before learning the basics of machine learning. 

Advanced

Advanced FinTech classes will help you develop the specialized skills that FinTech companies look for in potential employees. With an advanced FinTech class, you’ll take your skills to the next level. These classes cover advanced concepts and help students learn to use software and programming to develop innovative solutions in the FinTech industry. Most training centers offer advanced FinTech classes for students to take after their introductory and intermediate-level classes, or they may only offer advanced training in the form of a FinTech bootcamp or certificate program. 

FinTech Bootcamps

FinTech bootcamps provide comprehensive and accelerated training. Lessons covered in FinTech bootcamps will prepare students for an entry-level job in FinTech and some even prepare them for various specialized positions in FinTech that companies look to fill. Many bootcamps start at the beginner level and end with students having completed advanced-level lessons, although you can also find bootcamps that cover advanced-level FinTech skills only. Bootcamps do not provide the level of career readiness that career certificate programs do, but some programs will provide students with mentoring sessions where they can receive career advice and have the chance to work on professional development projects. 

On-demand

Have a packed schedule? Students with busier schedules can turn to on-demand classes as a means of learning FinTech. On-demand classes, or self-paced classes, allow students to log in to a virtual classroom and work through course material on their own. Courses offer instant access to students, and materials may include pre-recorded video lectures, reading material, and worksheets. This learning option best suits students who work or attend school full-time. On-demand classes lack the same structure as live classes, which some students enjoy while others find it too difficult. Self-paced learning, therefore, works best for students who can find the motivation and time to work through their on-demand class without needing the help or guidance of an instructor. 

Part-time or Full-time?

Aside from course modality, you should also consider whether part-time or full-time classes work best for you. Individuals with flexible schedules may want to consider full-time classes. Full-time classes provide long, accelerated lessons that will allow students to work through content quickly. On the other hand, students with less time to dedicate to learning can consider enrolling in part-time classes. 

Part-time classes run for longer periods than full-time classes, but individual part-time classes don’t last as long as full-time classes do. For this reason, full-time classes can prove to be a bigger commitment than part-time classes. Both class types may require you to complete homework outside of class, so you should consider the time that will take you to complete it in addition to the time you’ll spend in class. Prices for both class types usually run the same, but always check tuition for both options before enrolling if you have a budget. 

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.