Best Part-Time FinTech Bootcamps

Training centers and schools offer part-time and full-time FinTech bootcamps. The curriculum for part-time and full-time bootcamps usually stays the same. The main difference between the two types of programs lies in the time you’re in the classroom. Most full-time bootcamps take place during weekdays, usually lasting most of the day. Meanwhile, part-time bootcamps typically take place in the evenings or on weekends with shorter classes that may last two to three hours. 

Why Learn FinTech Part Time?

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 bootcamps provide students with the time to fully grasp the material before having to move on to the next lesson. The intensive learning schedule of full-time bootcamps allows students to learn material faster than they would in part-time classes. However, some students find themselves overwhelmed in full-time bootcamps due to their accelerated nature. The slower pace of part-time bootcamps allows students more time to process what they’re learning and ask questions. 

The main benefit of part-time bootcamps is the flexibility they offer in scheduling. If you’re a student or working professional, you probably don’t have the time for a full-time bootcamp. Although full-time bootcamps help students learn FinTech quickly, they take up a significant part of one’s day. With part-time learning available, students can take classes for a few hours during the week, giving them time to get through work or school. 

Additionally, pricing for part-time and full-time bootcamps usually remains the same. Despite the longer schedule for part-time programs, time spent in the classroom is the same and so are class fees. 

Drawbacks to Learning FinTech Part Time

Part-time bootcamps do come with some limitations. The main limitation students face is the slower pace. Although this can benefit students, it does serve as a drawback for students who need to learn FinTech quickly. The difference between a full-time and part-time bootcamp can be as little as a few weeks or as much as several months. Part-time means something different to different schools, so when comparing part-time and full-time bootcamps before enrolling, you should also consider the lengths of each part-time program. 

Students who learn best at an accelerated pace may find that part-time classes drag on. While some students prefer to have the extra time to digest material, other students work best when they’re spending extensive time in the classroom. If this is your learning style, you may want to avoid part-time FinTech bootcamps. 

Is a Part-Time FinTech Bootcamp Right for You?

Most learners can make a part-time FinTech bootcamp work for them, but this type of class best fits several types of students. Students who have busy schedules and cannot dedicate the time to full-time learning will benefit from a part-time bootcamp the most. Part-time scheduling allows them to focus on other aspects of their personal and professional life while still taking the time to steadily learn FinTech. 

Part-time classes also work well for students who need the extra time to go over topics. Full-time bootcamps work on an accelerated schedule, so switching between lessons may feel too sudden for some. In a part-time bootcamp, students will learn for several hours a week and then have plenty of time to review what they learned and reach out with questions before the class moves on to the next lesson. 

Ways to Make Learning FinTech Part Time Easier

If your schedule requires you to enroll in a part-time FinTech bootcamp but you would prefer to learn more each week, look for additional resources you can use to learn FinTech in your free time. Free resources like YouTube videos, online forums, books, and manuals can supplement your FinTech training. You can seek out additional resources that will expand on what you learned in class or answer questions you have that course material won’t cover. 

In addition to supplementing your training, you can also make learning FinTech part-time easier by studying and practicing outside of class. Aside from learning from your instructor and working on exercises and projects during your bootcamp, you should study FinTech when your free time allows. You can find practice projects online or ask your instructor for ideas on how to study what you’re learning in class. Studying and practicing in addition to class time will make learning FinTech easier and faster. 

Choosing the Best Part Time FinTech Classes or Bootcamp

Before enrolling in a part-time bootcamp, you should consider several aspects of the learning process such as your schedule, the pace of the class, and how well you retain information. Considering these aspects can help you determine whether part-time FinTech programs will help you learn FinTech. 

One of the most important considerations before enrolling in a FinTech bootcamp is your schedule. Most part-time bootcamps take place in the evenings and on weekends, although some may take place during the day on weekdays. If you have limited time, you probably need to consider part-time programs and not full-time programs. However, if you have an open schedule, you’ll need to determine which of the two types of bootcamps you’d prefer to enroll in. 

The pace of a part-time bootcamp factors into the best FinTech bootcamp for you. Some part-time bootcamps last slightly longer than their full-time bootcamps while others may last significantly longer. Before enrolling, consider the pace that will suit you. If you need longer between lessons, then a longer bootcamp should work for you. However, if you need a part-time program but don’t want to sacrifice too much of your calendar, look for one that has slightly longer class times. 

Your retention of lessons will also influence the part-time bootcamp meant for you. If you retain information well, then you will need to choose between longer or shorter part-time bootcamps. However, if you find yourself forgetting information not long after learning it, you may want to choose a shorter bootcamp that is longer than a full-time bootcamp but still quick enough that you won’t feel like you’re forgetting things between lessons. Another way to resolve this retention issue is to study and practice what you learn in class on your own. 

Part-Time FinTech Bootcamps with Noble Desktop

Learn FinTech skills by enrolling in one of Noble Desktop’s FinTech bootcamps. 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. 

Other FinTech Bootcamps to Consider

Other training centers and schools offer FinTech and FinTech-related bootcamps that may appeal to you. Consider the duration of the bootcamp, the scope of the curriculum, and other considerations that will influence your learning process before enrolling. 

The University of New Mexico’s Continuing Education AI & Machine Learning Bootcamp is a 26-week program powered by Fullstack Academy to help students develop the skills they need to start or expand a career in AI. The part-time schedule allows for evening classes where students will learn statistics, programming basics, applied data science with Python, machine learning, deep learning, and generative AI and prompt engineering. Students enrolled in the bootcamp have the opportunity to take advantage of additional coaching support and guidance for up to a year post-graduation with resume and LinkedIn profile optimization, interview and assessment prep, salary negotiation workshops, and other services. 

Interested in exploring full-time bootcamp options? Students with some background in Python and programming fundamentals looking to sign up for a thorough data science learning experience can enroll in General Assembly’s Data Science Bootcamp. The intermediate-level program walks students through the fundamentals of data science, such as statistical modeling, machine learning models, and natural language processing, to help build the skills needed for a career as a Data Analyst, Machine Learning Scientist, Database Specialist, or other data science professional.