Best FinTech Classes Near Me: Find In-Person & Virtual Training

Learn More About FinTech Courses

What is FinTech?

FinTech (financial technology) includes new technologies that aim to improve or automate financial services. Your banking app, stock app, invoicing software, and bitcoins are all examples of FinTech. The FinTech industry has moved far beyond early entrants like PayPal and now encompasses a wide range of newly emerging technologies and projects. Many experts predict this industry could replace up to 50 percent of all bank jobs within the next few decades.

FinTech encompasses a wide variety of technologies. It’s a broad category that includes apps like PayPal and Cash, a currency like Bitcoin, your bank’s app, investment apps and algorithms, and more. Generally, FinTech implies that the financial transactions enabled by these technologies can execute their functions without the assistance of a person, though often they are designed to help facilitate more effective financial transactions. Other technologies include data science applications and models that help consumers and companies make more informed financial decisions.

Why Learn FinTech?

Every year for the past four years, FinTech job openings have doubled. Some estimates predict FinTech could replace up to 50 percent of banking jobs in the coming years. Already, there are thousands of new jobs available. Because financial technology covers a diverse set of applications, software, and services, there are positions available for people at every education level – provided they have the skills needed to succeed.

FinTech is a fast-growing industry with global opportunities. You can find enticing jobs within the U.S. and around the world for all FinTech specializations. Because it’s a rapidly growing field, many FinTech professionals can assume great responsibility relatively early in their careers. That means you’ll have the chance to make a meaningful contribution to employers and clients from the jump with these positions. Your chances for upward mobility and expanding salaries are much higher than in other related fields.

FinTech skills

Learning FinTech can imply a few different technologies: Python, machine learning and automation, or blockchain. FinTech bootcamps typically aim to prepare students for building financial apps, trading algorithms, or working with cryptocurrency.

Python for Development

One of the most common aspects of FinTech is the development of applications, webpages and software that aids in the efficacy of performing financial transactions. This includes everything from online payment portals to make it easier to pay bills and rent to banking apps that allow us to check funds quickly to complex applications that let everyone instantly buy and sell assets. These apps all need to be programmed, and the degree of polish and attention to detail is essential since these applications involve people moving around money and private financial data. Students who want to learn to code these software applications (and there is a lot of money to be made in financial and banking applications), will need to learn how to write code in Python since it is one of the most commonly used programming languages for mobile applications and Internet of Things technologies.

Python for Data Science

The other major aspect of FinTech is in data science, which also heavily relies on Python programming skills. Investment Bankers and Financial Analysts who are looking to make informed decisions about the future of their client’s assets will rely heavily on computer-drive models and data science tools to predict the movements of future markets. Helped by data science tools and applications, FinTech specialists can identify past trends, isolate variables, query massive databases and keep up with the rapid pace of hundreds of markets to make the most informed decision possible regarding investment advice. In addition, Python tools allow users to visualize their data to help them communicate their findings more effectively with stakeholders.

Machine Learning

One of the most exciting new technologies emerging today is machine learning, a subset of artificial intelligence that allows algorithms to read and interpret large amounts of data without the need for a human operator. While this technology has mostly been relegated to content recommendation algorithms for the last several years, new industries are beginning to experiment with machine learning algorithms, including the financial industry. The markets produce so much data that it is virtually impossible for a human being to keep up, and machine learning allows computers to pick up the slack by processing hundreds of thousands of transactions worth of data in seconds. This allows brokers and traders to use machine learning algorithms to automate large portions of the investment trading process, and it allows them to instantaneously make market moves, which can be a massive boon for themselves and their clients.

FinTech Careers

FinTech is a rapidly expanding field, and a range of jobs are available for employees of the financial services industry who use FinTech and programmers who use software engineering skills to build applications commonly associated with FinTech. Regardless of the path you take, learning the skills associated with FinTech will greatly expand your options for career advancement.

Financial Analysts and Investment Bankers will utilize FinTech applications to help clients make informed decisions about their financial futures and investment strategies. Financial Analysts tend to work for large companies, and their responsibilities focus on modeling and predicting market conditions and providing advice on maximizing RoI on any given business decision. They will likely utilize FinTech tools to help them create complex financial models based on long-term data fed through programs like Tableau or other applications created with Python. Investment Analysts perform similar work but focus on asset markets and may work for individual clients. Investment Analysts will use FinTech tools to increase their asset trading efficiency and monitor long-term market conditions that impact whether or not a given asset is expected to be profitable. In the US, Financial Analysts earn an average annual salary of $75,000, while Investment Bankers earn approximately $92,000 annually.

On the other side of the coin, Data Scientists and Software Engineers play a vital role in the FinTech industry since they are responsible for creating the programs and algorithms that undergird most of the modern financial sector. Data Scientists create the databases and applications that Analysts use to chart market trends, identify patterns and make informed decisions about investment strategies, which empowers them to help their clients gain greater RoIs over a longer period of time. Software Engineers are responsible for making FinTech applications available to the public since they will be programming the apps and portals that allow everyday users to streamline their financial activities and take advantage of emerging technologies. In the US, Software Engineers earn about $116,000 annually, while Data Scientists earn about $125,000 a year. Specialized Machine Learning Engineers, who are Data Scientists working heavily on building artificial intelligence programs, machine learning algorithms and Large Language Models, earn an average annual salary of nearly $161,000.

Best FinTech Schools

Numerous schools and training centers around the country provide expert instruction in all elements of the FinTech world. No matter what angle you wish to approach the field from, you can find opportunities for professional skills development options.

Noble Desktop offers a FinTech Bootcamp that offers students training in the Python coding skills they will need to succeed as professional Financial Analysts and programmers. The course covers all of the major uses of Python for data analysis, automation and machine learning. Students will learn how to create and query databases, write scripts to automate the data collection and organization process and create simple machine learning algorithms designed to help interpret impossibly large amounts of data. Once students have completed the essential Python classes, they will enroll in two bootcamps that teach them how these skills can be applied directly to the field of financial investment and analysis. These classes will ensure students can apply their Python skills in practical, real-world situations.

Noble Desktop also offers a Software Engineering Certificate program for students looking to create the applications and FinTech programs that have become a part of our everyday lives. In this course, students will learn full-stack software development skills that can be applied to almost any kind of project. Students will learn how to design and program the front end of an application using HTML/CSS and JavaScript and how to build the server-side infrastructure of an application using Python and its popular Django library. This course aims to give students the skills they need to work on complex software development projects, including FinTech applications. Students who complete this course will have built a portfolio of sample applications that they can take with them onto the job market, and they will receive a certificate of completion highlighting their skills training.

NYIM Training offers a Financial Modeling Bootcamp that will introduce students to the basics of using tools such as Excel to create the databases and models upon which most FinTech projects rely. Students will learn how to value publicly traded companies and the best practices experienced hedge fund managers and investment brokers use to chart the value of assets. This course is a good introduction for students looking to learn the basics of working with FinTech applications and who need a deeper background in the foundational financial skills that analysts and bankers require. This course will teach students how to work on real-world financial modeling projects and review important concepts, such as enterprise valuation, financial statements and creating company presentations, earnings releases, and financial reports. While students likely need additional training to work on complex FinTech projects, this course is an excellent introduction to the field.

High school students looking to jump-start on their FinTech training and education should consider enrolling in NextGen Bootcamp’s Excel, Finance & Investing Summer Program (High School). In this course, students between the ages of 13 and 17 can get hands-on experience with FinTech tools as they work on data science projects and learn the basic language of finance and investing. Students will learn how to organize and query financial data using Microsoft Excel and the essentials of valuation (such as P/E ratios and DCF analysis), financial statements, and fundamentals of stock investing, giving students the opportunity to build the basic financial literacy they will need to continue with their FinTech training. This course is also an ideal place to prepare students for the entry-level college finance and business courses they will need to take if they hope to pursue a career in finance or investing.

How to Learn FinTech?

A wide range of training options is available for students looking to learn FinTech skills. In addition to choosing the various aspects of FinTech that you will emphasize, students will need to choose the mode of instruction that they receive. While in-person training at dedicated facilities is still the most common way to learn new skills, there are an increasing number of courses offered through live online instruction, and recent developments in online pedagogy have made online training programs an appealing alternative to traditional in-person courses. Students should consider their needs and learning preferences to make an informed decision about the best FinTech training course for them.

Most students find that they prefer the advantages offered by in-person skills training. Students who attend a course in person will be able to work directly with their instructors and peers and receive direct, personalized feedback on their work. The presence of an instructor can make the feedback resonate more directly, and working alongside a cohort of classmates can be helpful for the learning process. In addition, many students find that the space of the classroom is helpful, both for providing them with access to necessary technology and for keeping their attention focused on the lessons at hand. The drawback to these classes is that because they are restricted to a physical location, students can only attend classes that they can commute to, which can be a problem for students who don’t live in major metropolitan areas. In addition, because there is a commute, these classes can have hidden costs in terms of time and money that may add up over time.

Many schools now offer live online classes as alternatives to traditional in-person learning. In these classes, students will still have the opportunity to learn FinTech skills from instructors in real time over telecommunication platforms, meaning that they will still be able to receive direct, personalized feedback and assistance from their instructors, and they can ask questions and receive answers in real-time. In addition, students will be able to learn FinTech skills on their personal computers and in their offices, which can be a boon for students hoping to work from home or who are familiar with their own set-up. The drawback to these classes is that they will require students to ensure that they have stable access to the course seminar (and have a machine that can run a telecommunications call while also running all of the necessary FinTech applications), and students will need to be more self-motivated to avoid falling behind or becoming distracted, since they aren’t in a classroom space. Finally, in some, but not all, live online classes, it can be more difficult to find time to interact directly with your instructors, particularly during off-hours.

FinTech Courses by School

Here are some of the top schools offering FinTech training, including Noble Desktop (11 courses), Practical Programming (8 courses), and NYIM Training (7 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
- FinTech Bootcamp
  - 114 Hours
  - $4,995
- Python for Finance Bootcamp
  - 18 Hours
  - $1,295
- Python Machine Learning Bootcamp
  - 30 Hours
  - $1,895
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
Practical Programming
Locations:
- NYC
- Chicago
- Live Online
Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
- FinTech Bootcamp
  - 60 Hours
  - $2,995
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
- Python for Finance Immersive
  - 30 Hours
  - $1,895
- Algorithmic Trading with Python
  - 12 Hours
  - $895
Northwestern Boot Camps

Chicago location: 405 Church St, Evanston, IL, 60201 US

Northwestern offers students with full-time or part-time courses in web development, data science, cybersecurity, and financial technology. Located in Evanston and Chicago, Illinois, Northwestern Bootcamps offer a broad range of programming training, including Excel, Python, and Machine Learning. The bootcamps are offered through Northwestern University School of Professional Studies in partnership with Trilogy Education Services.
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - See provider
UNC Charlotte Boot Camps

Charlotte location: 320 E 9th St, Charlotte, NC, 28202 US

UNC Charlotte offers 12-week and 24-week programs in web development, data analytics, cybersecurity, and financial technology. The bootcamps are offered through the University of UNC Charlotte Continuing Education in partnership with Trilogy Education Services.
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $11,495
SMU Boot Camps

Dallas location: 6501 Airline Rd, Dallas, TX, 75205 US

Southern Methodist University Boot Camps offer 12-week and 24-week web development, data science, and FinTech courses in Dallas, Texas, and online. The bootcamps are offered through SMU Professional and Online (SMU PRO) in partnership with Trilogy Education Services.
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $11,995
Penn Boot Camps

Philadelphia location: 3401 Walnut St, Philadelphia, PA, 19104 US

The University of Pennsylvania offers 12-week and 24-week programs in cybersecurity, data science, and financial technology in Philadelphia, Pennsylvania, and online. The bootcamps are offered through the University of Pennsylvania College of Liberal and Professional Studies and School of Engineering and Applied Science in partnership with Trilogy Education Services.
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $12,495
General Assembly
Locations:
- Atlanta
- Austin
- Boston
- Chicago
- Dallas
- Denver
- Detroit
- Houston
- Los Angeles
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Raleigh
- Salt Lake City
- San Diego
- San Francisco
- Seattle
- Tampa
- Toronto
- Washington, D.C.
- London
- Charlotte
- Louisville
- St. Louis
- Live Online
- Melbourne
- Sydney
- Paris
- Singapore
+ 27 more
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
- Data Science Bootcamp
  - 12 Weeks
  - $16,450
- Python and Machine Learning Bootcamp
  - 14 Hours
  - See provider
- SQL Bootcamp: Learning the Language
  - 1 Day
  - $350
- Intro to Advanced SQL Concepts
  - 3 Hours
  - See provider
NYC Data Science Academy

NYC location: 500 8th Ave, New York, NY, 10018 US

NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
- Data Science with Python: Data Analysis and Visualization
  - 5 Weeks, 4 hr/wk
  - $1,590
- Data Science with R: Machine Learning
  - 5 Weeks, 7 hr/wk
  - $2,990
- Data Science with Python: Machine Learning
  - 5 Weeks, 4 hr/wk
  - $1,990
NYIM Training

NYC location: 185 Madison Avenue, New York, NY, 10016 US

NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
- Financial Modeling Bootcamp
  - 18 Hours
  - $995
- Financial Analyst Training Program
  - 30 Hours
  - $1,295
- SQL Bootcamp
  - 18 Hours
  - $975
- SQL Level I
  - 6 Hours
  - $350
NYC Career Centers

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
- Advanced Excel for Financial Modeling
  - 6 Hours
  - $350
- Financial Modeling Bootcamp
  - 18 Hours
  - $995
- Financial Analyst Training Program
  - 30 Hours
  - $1,295
- SQL Bootcamp
  - 18 Hours
  - $975

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FinTech Bootcamp Learn The Skills Guarantee™

Learn More About FinTech Courses

What is FinTech?

Why Learn FinTech?

FinTech skills

Python for Development

Python for Data Science

Machine Learning

FinTech Careers

Best FinTech Schools

How to Learn FinTech?

FinTech Courses by School

FinTech Bootcamp

Python for Data Science Immersive

Python for Finance Immersive

Algorithmic Trading with Python

FinTech Boot Camp

FinTech Boot Camp

FinTech Boot Camp

FinTech Boot Camp

Data Science Bootcamp

Python and Machine Learning Bootcamp

SQL Bootcamp: Learning the Language

Intro to Advanced SQL Concepts

Data Science with Python: Data Analysis and Visualization

Data Science with R: Machine Learning

Data Science with Python: Machine Learning

Financial Modeling Bootcamp

Financial Analyst Training Program

SQL Bootcamp

SQL Level I

Advanced Excel for Financial Modeling

Financial Modeling Bootcamp

Financial Analyst Training Program

SQL Bootcamp

FinTech Corporate & Onsite Training Noble Desktop

FinTech Training Map & Top Locations

83 Courses Available Live Online

57 Courses Available in NYC

28 Courses Available in Chicago

26 Courses Available in Los Angeles

18 Courses Available in San Diego

17 Courses Available in Washington, D.C.

16 Courses Available in Seattle

16 Courses Available in San Francisco

16 Courses Available in Atlanta

15 Courses Available in Houston

14 Courses Available in Phoenix

14 Courses Available in Charlotte

13 Courses Available in Tampa

13 Courses Available in St. Louis

13 Courses Available in Orlando

13 Courses Available in Minneapolis

13 Courses Available in Miami

13 Courses Available in Detroit

13 Courses Available in Denver

13 Courses Available in Boston

13 Courses Available in Austin

12 Courses Available in Virginia

12 Courses Available in Dallas

10 Courses Available in NJ

7 Courses Available in CT

6 Courses Available in Las Vegas

5 Courses Available in Philadelphia

4 Courses Available in Baltimore

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