Best FinTech Bootcamps Near Me: Find Bootcamps & Certificates

Top FinTech Bootcamps

FinTech Topics

Python Data Science

Python is a general-purpose programming language that is known for being easily readable and visually uncluttered due to its use of whitespace to divide blocks. Used to create applications such as YouTube and DropBox, Python can be used to scrape web pages, making it a powerful tool for data analysis. Perfect for fintech startups, Python can collect and organize assembled data for analysis. Python has broad machine learning capabilities that make it agile and adaptive.

Explore Python Data Science Bootcamps

Machine Learning

Machine learning refers to the process by which a system can “learn” from experience and adjust algorithms to improve effectiveness. Used in natural language processing, computational biology, image processing, and computational finance, machine learning is a potent tool for collecting, organizing, and understanding data. FinTech startups use unsupervised machine learning to detect hidden patterns of significance in data and adjust algorithms as needed.

Explore Machine Learning Bootcamps

Financial Modeling

Financial modeling is the process by which analysts can create visual representations of business data. FinTech startups rely on financial models to create forecasts, anticipate ongoing stock performance, and make data-driven decisions. Financial analysts provide cash-flow analyses, forecast and valuation models, and other reports that inform investment decisions and policy changes.

Explore Financial Modeling Bootcamps

SQL

SQL stands for Structured Query Language. It is a domain-specific language used by fintech startups and data scientists, (along with Python and R) to manage data using relational database management systems. Using several language elements, such as clauses, expressions, queries, statements, and predicates, SQL can query data within a relational database. Fundamentally a declarative language, SQL, includes procedural elements.

Explore SQL Bootcamps

FinTech Bootcamps by School

Here are some of the top schools offering FinTech training, including Noble Desktop (5 courses), Practical Programming (5 courses), and Constructor Academy (2 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.
Noble Desktop’s Top FinTech Bootcamps
- FinTech Bootcamp
  - 114 Hours
  - $4,995
  In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.
- Python for Finance Bootcamp
  - 18 Hours
  - $1,295
  Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.
- SQL Bootcamp
  - 18 Hours
  - $975
  In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
  In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.
See all Noble Desktop’s Courses
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.
Practical Programming’s Top FinTech Bootcamps
- FinTech Bootcamp
  - 60 Hours
  - $2,995
  Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
  This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.
- Machine Learning Immersive
  - 18 Hours
  - $1,195
  This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.
- Python for Finance Immersive
  - 30 Hours
  - $1,895
  This Python for Finance Immersive course gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Throughout the 30-hour program, the students will work with NumPy, Pandas, Matplotlib and other scientific libraries as they learn how to pull and process data. Students will graduate with hands-on experience working with Jupyter Notebook, having completed small projects using Python to analyze data. This program is open to beginners, with no requirement for experience in advanced mathematics or coding.
See all Practical Programming’s Courses
Northwestern

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.
Northwestern’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - See provider
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all Northwestern’s Courses
Rice University

Houston location: 6100 Main St, Houston, TX, 77005 US

Rice University offers 12-week and 24-week programs in web development, data analytics, cybersecurity, financial technology, UX/UI, and digital marketing in Houston, Texas, and online. The bootcamps are offered through Rice University's Susanne M. Glasscock School of Continuing in partnership with Trilogy Education Services.
Rice University’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $11,495
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all Rice University’s Courses
UNC Charlotte

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.
UNC Charlotte’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $11,495
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all UNC Charlotte’s Courses
ASU

Phoenix location: 4701 W Thunderbird Rd, Glendale, AZ, 85306 US

The University of Arizona Bootcamps offers full-time and part-time training in web development, data analytics, and UX/UI in Gilbert, Tucson, Phoenix, and Chandler, Arizona, and online. The bootcamps are offered through ASU’s New College of Interdisciplinary Arts and Sciences and ASU Continuing and Professional Education in partnership with Trilogy Education Services.
ASU’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks
  - See provider
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all ASU’s Courses
University of Washington

Seattle location: 4311 11th Ave NE, Seattle, WA, 98105 US

University of Washington offers 24-week and 12-week programs in web development and FinTech in Seattle and Bellevue. The bootcamps are offered through UW Professional & Continuing Education in partnership with Trilogy Education Services.
University of Washington’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $12,995
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all University of Washington’s Courses
Columbia Engineering

NYC location: 500 W 120th St, New York, NY, 10027 US

Columbia Engineering offers full-time and part-time courses in web development, data analytics, cybersecurity, FinTech, and UX/UI in New York City, and online. The bootcamps are offered through Columbia Engineering in partnership with Trilogy Education Services.
Columbia Engineering’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $13,495
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all Columbia Engineering’s Courses
GW

Washington, D.C. location: 1522 K St NW, Washington, DC, 20005 US

George Washington University offers 12-week and 24-week courses in web development, data analytics, cybersecurity, UX/UI, financial technology, and digital marketing in Arlington, VA, and Washington, DC. The bootcamps are offered through GW College of Professional Studies in partnership with Trilogy Education Services.
GW’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $10,000
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all GW’s Courses
SMU

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.
SMU’s Top FinTech Bootcamps
- FinTech Boot Camp
  - 24 Weeks, 10 hr/wk
  - $11,995
  This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.
See all SMU’s Courses

showing 10 of 22 schools

Which FinTech Bootcamp is Right for Me?

You have several options when it comes to learning FinTech, so we’ve chosen 32 of the best bootcamps from the top 22 training providers to help you make your decision. But even so, with the variety of considerations including cost, duration, course format, starting level, and more, choosing the perfect bootcamp still isn’t that easy.

Here are the key questions you should ask yourself before enrolling in a FinTech bootcamp. We hope you’ll find the best option based on your learning preferences and goals.

What level should I start at?

Enrolling in the right skill level is pivotal. Skipping over prerequisites can leave you confused, while choosing a course too easy will waste your time and tuition dollars.

Beginner Courses

If you’re new to FinTech, there’s no need to fear. We’ve found 28 beginner courses, with costs ranging from $362 to $13,495. The top options open to beginners include:

Python for Data Science Immersive @ Practical Programming ($1,495 | 30 Hours)
In Chicago, NYC or live online
FinTech Bootcamp @ Practical Programming ($2,995 | 60 Hours)
In NYC or live online
SQL Bootcamp @ Practical Programming ($975 | 18 Hours)
In NYC, Chicago or live online
Python for Finance Immersive @ Practical Programming ($1,895 | 30 Hours)
In NYC or live online
SQL Bootcamp @ NYIM ($975 | 18 Hours)
In NYC or live online

Note that beginner courses still typically assume basic proficiency with computers.

Intermediate & Advanced Courses

Already comfortable with the basics of FinTech and feel ready to move to an intermediate or advanced class? Consider the following courses which all require some prerequisite knowledge:

Machine Learning Immersive @ Practical Programming ($1,195 | 18 Hours)
In NYC or live online
Data Science with Python: Machine Learning @ NYC Data Science Academy ($1,990 | 5 Weeks)
In NYC or live online
Prerequisite: Students should understand Python and be able to use it to munge, analyze, and visualize data.
Python + Data Science @ Coding Temple ($12,995 | 10 Weeks)
In Chicago, Dallas or live online
Blockchain Development @ Sabio ($950 | 4 Weeks)
In Los Angeles, Irvine or live online

Which class format (in-person or live online) works best for me?

You can choose to attend FinTech courses in-person or live online.

In-Person

If you prefer to learn FinTech face-to-face with your instructor, you have twenty-two schools to choose from:

Noble Desktop (NYC and Live Online) offers nine FinTech courses with prices ranging from $425 to $4,995 and class duration ranging from 6 hours to 114 hours.
Practical Programming (4 locations) offers eight FinTech courses with prices ranging from $425 to $2,995 and class duration ranging from 6 hours to 60 hours.
Northwestern (Chicago) offers one FinTech courses with prices ranging from and class duration ranging from 24 weeks.
Rice University (Houston) offers one FinTech courses with prices ranging from $11,495 and class duration ranging from 24 weeks.
UNC Charlotte (Charlotte) offers one FinTech courses with prices ranging from $11,495 and class duration ranging from 24 weeks.
ASU (Phoenix) offers one FinTech courses with prices ranging from and class duration ranging from 24 weeks.

Please note that due to COVID-19 some providers are temporarily offering online training only. Check with each provider for the latest status on a school’s in-person reopening plans.

Live Online Training from Anywhere

Live Online training is synchronous training where participants and the instructor attend remotely. Participants learn and interact with the instructor in real-time and can ask questions and receive feedback throughout the course. Instructors can remote into students’ computers (with prior permission) to assist with class exercises and any technical issues. The courses are hands-on and interactive like in-person training.

You can attend the course from your own home or office. This option works best for those without easy access to a nearby facility, and it has become increasingly popular during COVID-19. Here are 7 of the best live online FinTech classes we found:

FinTech Bootcamp @ Noble Desktop ($4,995 | 114 Hours | beginner)
Python Data Science & Machine Learning Certificate @ Noble Desktop ($3,495 | 96 Hours | beginner)
Python for Data Science Bootcamp @ Noble Desktop ($1,495 | 30 Hours | beginner)
Python for Finance Bootcamp @ Noble Desktop ($1,295 | 18 Hours | beginner)
SQL Bootcamp @ Noble Desktop ($975 | 18 Hours | beginner)
Python for Data Science Immersive @ Practical Programming ($1,495 | 30 Hours | beginner)
FinTech Bootcamp @ Practical Programming ($2,995 | 60 Hours | beginner)

When are FinTech classes available?

It’s crucial to find a course that fits your schedule. For FinTech training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.

Courses with multiple scheduling options include:

SQL Bootcamp @ Practical Programming ($975 | 18 Hours | NYC, Chicago or live online) is available weekdays or evenings
SQL Bootcamp @ NYIM ($975 | 18 Hours | NYC or live online) is available weekdays, evenings, or weekends
SQL Bootcamp @ Noble Desktop ($975 | 18 Hours | NYC or live online) is available weekdays or evenings
SQL Bootcamp @ Career Centers ($975 | 18 Hours | NYC or live online) is available weekdays, evenings, or weekends
FinTech Bootcamp @ Noble Desktop ($4,995 | 114 Hours | NYC or live online) is available weekdays, evenings, or weekends

Courses available weekdays only include:

Machine Learning Immersive @ Practical Programming ($1,195 | 18 Hours | NYC or live online)
Machine Learning @ Holberton School (72 Weeks | 11 locations or live online)
Python for Data Science Immersive @ Practical Programming ($1,495 | 30 Hours | Chicago, NYC or live online)
Python + Data Science @ Coding Temple ($12,995 | 10 Weeks | Chicago, Dallas or live online)
Python Data Science & Machine Learning Summer Program @ NextGen ($1,999 | 45 Hours | NYC, NJ or live online)

Courses available evenings only include:

Blockchain Development @ Sabio ($950 | 4 Weeks | Los Angeles, Irvine or live online)

Courses available weekends only include:

Data Science with Python: Machine Learning NYC Data Science Academy ($1,990 | 5 Weeks | NYC or live online)

Full-time Courses

Also note, one course we’ve found requires a full-time commitment. This course is a “career-changer” course that may span over several months and probably requires 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. Courses like these typically require a large financial commitment, although many provide payment plans and financing options.

Machine Learning @ Holberton School, spanning over 72 Weeks for

Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.

What should I learn in FinTech?

With FinTech encompassing so many verticals and subtopics, it could be challenging to find what you’re looking for. We’ll help you break down the subcategories and related topics (see the FinTech topics section) to focus directly on one of the subcategories.

When learning FinTech, you can attend a course or program that dives comprehensively into FinTech or focuses on a particular topic, including Python Data Science, Python for Finance, or Machine Learning.

Comprehensive FinTech Classes

If you’re committed to learning FinTech comprehensively, we’ve found a couple courses that can help you achieve that goal.

FinTech Bootcamp @ Practical Programming
This course takes place over 60 Hours.
FinTech Bootcamp @ Noble Desktop
This course takes place over 114 Hours, has job support services, and is available weekdays, evenings, or weekends.

Focus on a Specific Subtopic within FinTech

Within FinTech, you can focus your learning on a specific topic, including Python Data Science, Python for Finance, Machine Learning, Python Machine Learning, and Financial Modeling. Each one of these topics will directly enhance, supplement, or support your learning in FinTech. To see how each topic relates to FinTech and to focus your learning on any subcategory, see the subtopics section above.

For a quick overview, here are some popular classes:

Learn Python Data Science with Python for Data Science Immersive @ Practical Programming.
The course costs $1,495 and is available in Chicago, NYC or live online.
Learn Python for Finance with Python for Finance Immersive @ Practical Programming.
The course costs $1,895 and is available in NYC or live online.
Learn Machine Learning with Machine Learning Immersive @ Practical Programming.
The course costs $1,195 and is available in NYC or live online.
Learn Python Machine Learning with Data Science with Python: Machine Learning @ NYC Data Science Academy.
The course costs $1,990 and is available in NYC or live online.
Learn SQL with SQL Bootcamp @ Practical Programming.
The course costs $975 and is available in NYC, Chicago or live online.

What type of learner am I?

When learning FinTech, there are a variety of learning goals you can achieve, including learning FinTech comprehensively, getting started, adding to existing skills, or embarking on a new career path.

To find the perfect fit for you, it’s important to determine what your training goals are. Here is a breakdown of the variety of courses and learners.

Comprehensive Learner

For those who are committed to comprehensively understand FinTech and ready to spend 18 hours to 114 hours to master FinTech, these classes will help achieve that goal. With prices ranging from $975 to $4,995, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.

SQL Bootcamp @ Practical Programming ($975 | 18 Hours) available in NYC, Chicago or live online
SQL Bootcamp @ NYIM ($975 | 18 Hours) available in NYC or live online
SQL Bootcamp @ Noble Desktop ($975 | 18 Hours) available in NYC or live online
SQL Bootcamp @ Career Centers ($975 | 18 Hours) available in NYC or live online
Machine Learning Immersive @ Practical Programming ($1,195 | 18 Hours) available in NYC or live online
FinTech Bootcamp @ Practical Programming ($2,995 | 60 Hours) available in NYC or live online

Committed to Getting Started

If you know you need to get started in FinTech but you’re not quite committed to learning it comprehensively, these courses will get you started with hands-on skills you can use right away. Many schools offer the ability to continue learning with intermediate-to-advanced courses, and some offer package discounts. All these courses are open to beginners.

Python for Finance Bootcamp @ Noble Desktop ($1,295 | 18 Hours) available in NYC or live online
Data for Beginners (Python) @ CodeClan ($300 | 2 Days) available in or live online
Data for Beginners (SQL) @ CodeClan ($300 | 2 Days) available in or live online

Skill-Advancer

For those with some familiarity with FinTech looking to advance or add to their skills, these courses provide those with experience the perfect opportunity to skill-up. All these courses require prerequisite knowledge, and we’ve included a brief note for many of them, but you should check with the school for more details on the entry requirements.

Data Science with Python: Machine Learning @ NYC Data Science Academy ($1,990 | 5 Weeks) available in NYC or live online
Prereq note: Students should understand Python and be able to use it to munge, analyze, and visualize data.
Generative AI and ChatGPT @ Constructor Academy ($2,500 | 6 Weeks) available in or live online

Career Changer

You’re not only committed to learning FinTech comprehensively, but you’re hoping and ready to break into a new career. While securing a new career is not guaranteed, these courses provide in-depth training in FinTech. Many offer job support and some offer a money-back guarantee. Job support typically includes resume writing, help with job applications, portfolio building, and career counseling, but the services vary by provider.

Applications are typically required and many also require remote prework to build essential concepts before the more intensive “live” training. And due to the steep prices (some courses as high as $13,495) many programs provide financing options. See financing notes below but always be sure to confirm with the school and read the terms and conditions. Not all applicants are admitted and approved for financing.

Here are several “career-changer” programs. All the programs include career services (see the provider’s website for details on what is included).

Deluxe Data Analytics Track @ Skillspire ($4,999 | 12 Weeks) available in Seattle or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
Machine Learning @ Holberton School (72 Weeks) available in 11 locations or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
FinTech Boot Camp @ Northwestern (24 Weeks) available in Chicago
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
FinTech Boot Camp @ Rice University ($11,495 | 24 Weeks) available in Houston
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
FinTech Boot Camp @ UNC Charlotte ($11,495 | 24 Weeks) available in Charlotte
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
FinTech Boot Camp @ ASU (24 Weeks) available in Phoenix
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).

Will learning FinTech help me get a job?

FinTech is an in-demand skill that is essential for a variety of career paths. Here are some popular positions listing FinTech as a skill and the average salaries in the United States according to Indeed as of September 2023.

Data Scientist: $124K annual salary
Python Developer: $120K annual salary
Software Engineer: $116K annual salary
Financial Analyst: $75K annual salary

See the careers section for more information about the top related careers and the salaries by location, and visit the career pages for detail on skill requirements, day-to-day work, compensation, tips, and more.

How much do FinTech bootcamps cost?

Pricing for FinTech training varies by school, duration, method of delivery, and several other factors.

For group classes, in-person training in ranges from $14/hour to $100/hour, and live online training ranges from $14/hour to $100/hr.

See the FinTech pricing analysis section to compare course fees.

For FinTech corporate and on-site training, contact us at (212) 226-4149 or corporate@nobledesktop.com to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.

Learn FinTech for a New Career

FinTech is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Financial Analyst

Indeed.com Avg. Salary

$75K / year
indeed.com

Glassdoor Avg. Salary

$87K / year
glassdoor.com

Financial analysts use their business, finance, or accounting background to analyze data and make recommendations for investments. They study past, present, and future business and economic trends to provide data-driven insights for business decision-making. Financial analysts take on roles as fund managers, portfolio managers, investment advisors, and risk analysts. Many earn additional credentials in the field, such as Certified Public Accountant or Project Management Professional certifications.
Learn about becoming a Financial Analyst
Data Scientist

Indeed.com Avg. Salary

$124K / year
indeed.com

Glassdoor Avg. Salary

$152K / year
glassdoor.com

Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. Governments, non-profits, and businesses of all types rely on data for forecasting, risk management, and resource allocation. Data scientists discover and analyze trends in data, and report their findings to stakeholders. They will use algorithms and models to simplify and mine data sets to create data-driven recommendations. Data scientists are needed across a handful of industries, especially the ubiquity of data and the reliance on it for business decision-making.
Learn about becoming a Data Scientist
Software Engineer

Indeed.com Avg. Salary

$116K / year
indeed.com

Glassdoor Avg. Salary

$139K / year
glassdoor.com

Software engineers use their extensive knowledge of user experience design, operating systems, and programming languages to develop software. They can create different types of software, from games to operating systems. After analyzing a client's needs, they design, develop, and test software to meet that need. Software engineers can be divided into two distinct career categories: application engineers and systems engineers.
Learn about becoming a Software Engineer
Python Developer

Indeed.com Avg. Salary

$120K / year
indeed.com

Glassdoor Avg. Salary

$113K / year
glassdoor.com

Python Developers typically choose to focus on back end web development, data science or analysis, scripting, or product development. They build the server side of websites, processes for data analysis, and create automation scripts.
Learn about becoming a Python Developer

showing 4 of 4 career paths

Learn More About FinTech Bootcamps

FinTech bootcamps offer hands-on training in financial analysis, algorithm trading, and automation techniques. These bootcamps are the shortest way to unlock the next level of your Analyst career with Python. A FinTech bootcamp is a great way to upskill or start your path to a career in FinTech.

What is FinTech?

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. Skills 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 data set 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 have tools that can automatically query and draw conclusions from existing data sets 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 in order 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.

Some learners may find that they succeed best in the traditional learning environment of an in-person class. For these learners, providers like American Graphics Institute and Holberton School offer in-person learning options that are a great value. For example, American Graphics Institute’s courses focus predominantly on data science and Python skills, while Holberton School offers an intensive training program focused on machine learning. All of these programming skills are critical to succeed as a FinTech professional.

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 American Graphics Institute and 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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