Best FinTech Bootcamps Near Me: Find Bootcamps & Certificates

Learn More About FinTech Bootcamps

FinTech (short for financial technology) refers to any process of using computer science in the financial industry. This is an incredibly broad category covering everything from data science skills used to predict market trends to visualization tools that let investors communicate their findings and reports with one another. It also includes important automation tools that let investment bankers and financial analysts stay on top of market movements faster than human beings could process data.

FinTech skills are becoming increasingly essential in the financial services industry as they allow firms and individuals to make informed decisions about market forces that would previously have been impossible. While not all financial experts will need to learn how to program FinTech applications, knowledge of how to use them is becoming a hard requirement for success in the field.

Why Learn FinTech?

If you want to succeed in investing and finance, you can’t rely on your gut feeling and intuition if you want sustained growth. Smart investing isn’t like gambling, where you hope to hit it big once, but it is instead a process of making many small, correct decisions over a long period. FinTech skills will assist you in correctly identifying the small decisions you need to make, and these skills will help you hit correctly more often than not. Learning FinTech isn’t about ensuring that every investment you make hits big or gives you a perfect understanding of financial markets. Rather, it is about helping you use every tool at your disposal to take some guesswork out of working with money.

Learning FinTech is also important for anyone hoping to find work in the financial industry, whether as an Analyst, Investment Banker or Financial Consultant. Firms and businesses regularly move millions of dollars around markets and projects daily, and they need to be confident that the analysis underlying those decisions is sound. To ensure this, skilled FinTech experts are hired to collect and organize data, turn that data into accessible visualizations, and provide insight to stakeholders based on that data. Without the work of these experts, financial investment and money management would be far more haphazard, which is dangerous given how many Americans have savings and retirement funds wrapped up in the stock market.

FinTech can also help individuals looking to ensure their own long-term financial stability and independence by helping them invest with greater insight. Investing can be a challenge for individuals, particularly those who are risk-averse and uncertain about their decisions. Learning how to use FinTech tools will not only teach you how to make more informed decisions, but many of FinTech bootcamps also teach students basic investment and financial planning techniques to help them understand the basics of asset markets and financial valuation.

Aspects of FinTech

Since it covers almost any use of computer technology to aid financial work, FinTech is necessarily a broad category, so students enrolled in bootcamps will end up learning different skills depending on the individual curriculum. As a general rule, when you enroll in a course, you will either learn how to use existing tools for financial analysis or how to build the tools and databases utilized in financial analysis.

Data Science

The heart of FinTech is data science, the process by which huge amounts of data are collected, stored, organized, and queried. Financial institutions like the New York Stock Exchange generate billions of bytes of data daily as traders make millions of transactions. This is far more data than a human being can process, so computers are brought in to assist them in understanding what this data suggests. Data science training will involve learning to code databases and querying applications using programming languages like Python and SQL. Students will learn how to manage databases and draw actionable insights from the data they are collecting.

Data science training will also teach students how to write complex queries to create new datasets that can be used for predictive purposes. One of the reasons data science is such an important part of the financial industry is technology is making it easier and easier to build predictive models of asset markets based on existing datasets. Skilled Data Scientists can use historical financial data to predict market forces, giving them greater insight into whether or not a given investment is projected to accrue value.

Data Visualization

Another important part of financial data management is data visualization. Most financial databases look like massive spreadsheets filled with numbers, formulas, and other equations. This makes them completely inaccessible to non-experts, which makes it difficult for investors and stakeholders to draw conclusions from this data. Data visualization tools like Tableau and Microsoft BI are designed to help investors and Data Analysts transform large, inaccessible datasets into persuasive and stunning visualizations. These tools let users create charts, maps, and graphs that make the findings in a dataset easier to understand and draw conclusions based on. These tools are necessary to make sense of datasets and communicate findings to non-financial experts.

Most data visualization tools also offer support to investors without data science training. While they won’t create databases independently, most tools have features that can automatically query and draw conclusions from existing datasets using dashboard tools. This lets financial advisors and investors query datasets on their own and explore the implications found within their datasets in ways that are visually easy to understand. That makes learning tools like Tableau or Microsoft BI essential for financial professionals looking to understand and communicate large datasets for themselves or for other investors and stakeholders.

Machine Learning

Financial markets move so quickly that it is often impossible for humans to keep up with the sheer volume of data being produced every day. One of the most important recent developments in the field of data science is the refinement of machine learning algorithms. These programs are capable of ‘reading’ and ‘interpreting’ data to notice patterns and ‘learn’ about that data at an incredibly rapid pace. This allows for a degree of data analysis that was previously impossible, since machine learning algorithms don’t need a human operator to input data or direct the machine on how to interpret that data. A machine learning algorithm can read and interpret a month’s worth of financial data in seconds and produce predictive models and outcomes based on that data.

Students interested in machine learning will need Python training to build the algorithms that allow machines to read and interpret data. They will also need dedicated training in how to ‘teach’ machines to read this data. Machine learning algorithms aren’t capable of nuanced or iterative thought, so if they are fed bad or biased data they will simply replicate that bias in their output. This is dangerous for financial advisors and analysts because if their data input is bad, the output will be misleading, which is not desirable when huge amounts of money are involved. As such, FinTech students who are interested in machine learning will need training to ensure that their initial datasets are strong.

Automation

Another outcome of the pace at which markets move is that they are often changing so quickly that human beings won’t be able to react to their movements in time. Asset valuations can spike and crater very quickly and no one wants to be left holding the bag because they couldn’t physically confirm a trade before a price bottomed out. FinTech specialists can bypass this worry by building automated financial tools that handle the process of buying and selling assets automatically. This can be as simple as using a program to automatically buy or sell assets once they reach price floors or ceilings or it can be as complex as using a machine learning algorithm to automate the process of calculating predicted floors and ceilings that update in real-time. This is a vital tool for anyone who is working with huge asset portfolios that are difficult to manage on a granular level.

FinTech Careers

FinTech is one of the fastest-growing industries in the U.S. right now. FinTech is to thank for online banking, automated investing applications, financial predicting, and blockchain technology. Financial Analysts, the professionals responsible for helping individuals and businesses make financial decisions based on data analysis. The Bureau of Labor Statistics suggests that Financial Analyst jobs are projected to grow by about 10% year over year for the next decade and that they earn nearly $100,000 a year.

Investment Analysts are specialists who advise individuals and businesses on investment strategies and manage investment portfolios. They use FinTech skills to predict and model the future value of assets and to ensure that their clients are making smart and informed decisions with their money. Individual Investment Analysts and Corporate Investment Analysts will be dealing with different kinds of assets and portfolios. Still, they will utilize the same tools and techniques to ensure that their client’s money is well managed. While salaries will vary depending on location and job responsibilities, Investment Analysts make about $81,000 a year

The work of a FinTech specialist can’t be done without someone building and programming the computer applications and databases that FinTech tools run off of. Data Scientists are the ones responsible for making this technology a reality. Data Scientists use programming languages like Python to build and query financial databases, and they build data visualization tools that help analysts communicate with their clients. Machine Learning Engineers specialize in building machine learning algorithms that can be used to facilitate incredibly complex financial projects. In the US, Data Scientist salaries average about $132,000 a year, while Machine Learning Engineer salaries average $155,000 annually.

Why Learn in a FinTech Bootcamp?

One way for students to learn FinTech skills is to enroll in an immersive FinTech bootcamp. These accelerated training programs provide students with the training necessary to become professional FinTech experts of all stripes. While there are many ways to learn FinTech skills, bootcamps offer several important affordances.

Foundational Skills Training

Many FinTech bootcamps are beginner-friendly offerings that aim to teach students the foundational skills they need to succeed in the field. For example, at many FinTech bootcamps, you’ll learn the foundations of finance technology, Python, Python’s libraries, machine learning and automation, algorithmic training, and data visualization. Essentially, many FinTech bootcamps are data analytics bootcamps focusing on finance. This makes them ideal courses for students looking to build a diverse range of career skills.

Career-focused Learning

Most FinTech bootcamps aim to prepare students for careers in the financial industry. They offer practical training in the skills that analysts and advisors need to know, and they build in hands-on lessons so students can have experience with important job tasks. In addition, these classes tend to provide students with career development assistance on top of regular skills training. While these offerings will vary from bootcamp to bootcamp, common career services include portfolio building seminars, guest speakers from the financial industry, and one-on-one career mentoring sessions. Students interested in a career in FinTech should consider exploring the service options available through various bootcamps.

Flexible Offerings

You can attend a FinTech bootcamp live online, in-person, or at your own pace online. There are a growing number of options, but the best FinTech bootcamps are live online or in-person. Learning in a live setting allows you to ask your questions when you have them and immediately put the skills you’re learning into practice. This range of options means that students can find the bootcamp that best suits their needs and works within their schedule.

The volume of FinTech bootcamps also gives students greater control over the kind of training they receive. Students can find bootcamps that centralize the skills that they want to learn and they can enroll in many of these bootcamps without leaving their homes. For example, some students may be very interested in the data science side of FinTech and therefore choose a course that teaches advanced Python skills and machine learning. Other students, who aren’t interested in learning advanced programming skills, may want to enroll in a class that centralizes how to use data analytics tools like Microsoft Power BI or Tableau.

Boost Your Career

A FinTech bootcamp can give your career a massive boost whether you hold a high school diploma, bachelor’s degree, or master’s degree. Having a bootcamp on your resume can help your reputation and show employers that you have the skills they’re looking for because you’ve already been vetted by a bootcamp. You can attend a FinTech bootcamp before college to get a head start in a successful finance career.

A FinTech Bootcamp is a great foundation for entrepreneurs who want to introduce a FinTech application, startuppers who work with any type of financial technology, someone preparing to head to college to earn a financial degree or someone who’s looking to break into finance from an adjacent career. There are bootcamps that cater to every skill level, budget, and career trajectory.

Find The Perfect FinTech Bootcamp for You

Now more than ever, professionals in virtually every industry are able to harness the power of data to guide their operations. This is especially true for the world of finance, where data science and algorithms have given finance professionals the tools needed to anticipate future trends and stay on the cutting edge of financial markets. As the demand for data-driven financial operations has grown, an entire field of analysis at the intersection of finance and technology has appeared—often referred to as FinTech.

As the tools powering the FinTech revolution continue to grow more sophisticated and powerful, there is no better time to get up to speed on the latest techniques driving the finance industry. One of the best ways to do so is through a fully immersive FinTech bootcamp. As one of the most comprehensive learning options available, FinTech bootcamps provide learners with dozens to hundreds of hours of intensive instruction from accomplished teachers. The time commitment needed to succeed in these programs is quite high, but the payoff makes all of that worth it. In fact, some bootcamps can even take the place of an equivalent college degree on a job seeker’s resume, making these classes the perfect choice for jump-starting your FinTech career.

Careers for FinTech Bootcamp Graduates

Globally, FinTech is a rapidly growing field that will remain in high demand for years to come. While FinTech experts need to develop proficiency in programming, data science, and business or financial analysis, professionals who are able to successfully combine these skills can access a wide variety of high-paying and fulfilling job options. Since demand for professionals in the field shows no sign of stopping, learners can rest assured that their skills will remain in quite high demand for the foreseeable future.

Accomplished professionals looking for FinTech-related careers have an exciting variety of options to choose from. In addition to careers like financial analyst, which can pay anywhere from $60,000 to $80,000 per year nationwide, FinTech professionals can also qualify for jobs like data scientist, which can pay as much as $120,000 per year, in some cases. Due to the field’s reliance on programming fundamentals such as Python, FinTech experts can also qualify for positions like Python developer or software engineer, both of which can pay anywhere from $85,000 to $115,000 nationally. As a result, learning FinTech skills is the perfect gateway to a fulfilling and lucrative career.

In-Person FinTech Bootcamps

Between in-person learning options and virtual courses, learners have a plethora of FinTech classes to choose from today. However, deciding on the best option for your specific learning goals can be a dizzying exercise. To make this decision easier, Noble Desktop offers the Classes in Your Area tool, which allows users to search and compare FinTech bootcamps available in-person in their area, as well as live online.

Virtual FinTech Bootcamps

Learners should also consider the possible benefits that a virtual FinTech bootcamp can offer them. In addition to offering the same high standard of educational quality one would typically associate with an in-person class, virtual bootcamps also give learners the flexibility to complete lessons and assignments from the comfort of their home or office. This makes these bootcamps the perfect choice for learners prioritizing a more flexible learning environment than an in-person bootcamp may be able to provide.

As an industry-leading provider of tech education for over three decades, Noble Desktop is proud to offer a variety of virtual FinTech bootcamps perfect for gaining the many skills needed to excel in the field. Highlights of these programs include the comprehensive FinTech Bootcamp and the Python for Finance Bootcamp, both of which focus specifically on data science’s applications within the finance industry. Other related programs include the Python for Data Science Bootcamp, which covers many of the Python programming skills that accomplished FinTech professionals rely on in their day-to-day work. Altogether, these programs all offer the immersive and comprehensive foundation for any professional to jump-start their FinTech career.

Learners can also find virtual FinTech bootcamps by other providers across the country. Examples of these bootcamps include Coding Temple’s 10-week Python + Data Science Bootcamp and Practical Programming’s 60-hour FinTech Bootcamp.

FinTech Classes

While immersive bootcamps are a great way to jump-start an entirely new career in FinTech, their high time commitments and cost requirements mean that they are not always the best choice for everyone. In particular, learners looking for a lower time commitment in a course should consider a FinTech class instead, which are available both in-person and online. With only a few dozen hours of instruction or less, these classes are a much easier way to get a basic introduction to the field of FinTech before deciding if you want to commit further.

Select FinTech classes offered by Noble Desktop include the Machine Learning & Automation for Finance course, as well as a class on Algorithmic Trading with Python. Both of these classes teach valuable skills sure to make a difference in your FinTech learning journey. Other options from providers nationwide include Wall Street Prep’s financial modeling course, as well as training in SQL, a critical data science programming language, offered by providers such as General Assembly.

Choosing a FinTech Bootcamp

There are a number of factors that individuals should consider when choosing a FinTech bootcamp. The most basic choice starts at deciding between in-person and online bootcamps, which each offer pros and cons that may help you narrow down your choice. The next major consideration is the time commitment required and associated cost. For example, shorter bootcamps typically have a lower price tag than a bootcamp that takes place over months of instruction. However, longer and more intensive bootcamps may offer more comprehensive training that better prepares learners for the FinTech world. Furthermore, many programs offer different financing options to help learners structure and offset the cost of attendance.

Other factors worth considering include the benefits a particular program offers. For example, some programs offer career counseling opportunities, one-on-one coaching and mentorship, or a post-program job guarantee. These benefits can be a great way to add additional value to your learning experience. Once considering all of these factors, you can be sure that you have chosen the best learning path for your needs and goals.

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Key Insights

Learn More About FinTech Bootcamps

Why Learn FinTech?

Aspects of FinTech

Data Science

Data Visualization

Machine Learning

Automation

FinTech Careers

Why Learn in a FinTech Bootcamp?

Foundational Skills Training

Career-focused Learning

Flexible Offerings

Boost Your Career

FinTech Corporate & Onsite Training Noble Desktop

FinTech Bootcamp Map & Top Locations

31 Bootcamps Available Live Online

22 Bootcamps Available in NYC

7 Bootcamps Available in Chicago

4 Bootcamps Available in Dallas

3 Bootcamps Available in San Diego

2 Bootcamps Available in Detroit

2 Bootcamps Available in Los Angeles

2 Bootcamps Available in Miami

1 Bootcamp Available in Atlanta

1 Bootcamp Available in Austin

1 Bootcamp Available in Boston

1 Bootcamp Available in Charlotte

1 Bootcamp Available in Denver

1 Bootcamp Available in Houston

1 Bootcamp Available in Minneapolis

1 Bootcamp Available in Orlando

1 Bootcamp Available in Philadelphia

1 Bootcamp Available in Phoenix

1 Bootcamp Available in San Francisco

1 Bootcamp Available in Seattle

1 Bootcamp Available in St. Louis

1 Bootcamp Available in Tampa

1 Bootcamp Available in Washington, D.C.

1 Bootcamp Available in NJ

1 Bootcamp Available in CT

1 Bootcamp Available in Virginia

Careers & Salaries Related to FinTech

Related Bootcamps

FinTech Topics

Python Data Science

Machine Learning

Financial Modeling

SQL

Find The Perfect FinTech Bootcamp for You

Careers for FinTech Bootcamp Graduates

In-Person FinTech Bootcamps

Virtual FinTech Bootcamps

FinTech Classes

Choosing a FinTech Bootcamp

Rice University Boot Camps FinTech Boot Camp
Not currently offered

FinTech
Corporate & Onsite Training