Break into finance technology with this bootcamp. Learn the skills and programming languages to analyze financial data, build machine learning models, and complete hands-on projects.
4 weeks full-time (weekdays), or 4 months part-time (evenings or Saturdays)
NYC or Live Online
Prepare for entry-level positions in data science and financial technology. The FinTech Bootcamp provides valuable programming and data analysis skills to prepare you for a career as a Financial Analyst, Data Scientist, or another role. FinTech accounts for a growing number of businesses within the financial services industry, and the skills associated with this career path are in-demand.
Begin by learning the fundamentals of Python and data science, including data types and data structures, and work with SQL to query databases. You'll also learn how to use Python to create dashboards and other data visualizations for presentations. After that, you’ll progress to building sophisticated statistical models using machine learning and complete your own final project. Finally, you will learn advanced libraries and applications of Python specifically for financial analysis, including SEC filings, stock prices, portfolio and risk management, and financial ratios.
This course is open to beginners with no prior knowledge of Python, programming concepts, data science, or data visualization. However, participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
If you prefer to pay your tuition over time, we have payment options to meet your needs. Finance your education through an installment plan or a 0% interest tuition financing plan. We also assist with documentation should your employer offer tuition reimbursement.
See the Installment plan FAQ for more information.
Student financing plan provided through Leif. See the Leif FAQ for more information.
If you’re a company enrolling your employees, choose Corporate Invoice at checkout.
If you’re an employee seeking to have your tuition reimbursed by your company, email us for an invoice to submit to your employer for approval.
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.
This program is a discounted package of classes that is 15–25% off the individual class prices.
Learn the concepts and skills covered in this program or your tuition is on us. See details and terms & conditions.
Work on projects proven to boost retention
Refined over many cohorts for an optimal learning experience
The teaching method at Noble Desktop is perfect and the classes provide you with infinite knowledge that makes you eager to take everything they offer. I love Noble!
—Ivonne Ackerman
Experienced educators who are driven to help you succeed
Refresh the materials for free within one year
Attend this certificate program in-person in NYC or Live Online via Zoom. Engage with expert instructors, ask questions, and get feedback on your exercises and projects. Switch between live-online and in-person as needed, even after the course has started.
Unlike other providers, these are not mass open-enrollment classes. At Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
We want you to succeed in your career goals. In addition to 114 hours of hands-on, interactive training, you’ll also receive six 1-on-1 mentoring sessions where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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Missed a session or need a refresher? We have you covered!
We offer a free retake of any module or the whole program within a year. You can also access recordings of each session in your student portal within 1 business day of the session-end (available for one month).
See terms and conditions for restrictions.
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.
Unit 1 30 Hours
Unit 2 18 Hours
Unit 3 6 Hours
Unit 4 30 Hours
Unit 5 30 Hours
Choose one of the classes below as a free elective (contact us after registration).
Bonus 18 Hours
Bonus 18 Hours
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
We cover the tools and techniques you need to succeed.
A general-purpose programming language that can be used to develop applications, analyze and visualize data, create machine learning algorithms, automate tasks, and much more.
SQL is used to communicate with databases. It stands for Structured Query Language, because it’s a way to query (question) the information stored in a database.
Jupyter Notebook is where many people code Python. You can create notebooks with notes and code (such as Python), which run directly in your web browser.
Machine learning uses computer algorithms to analyze data. Machine learning (ML) is viewed as a kind of artificial intelligence (AI).
A Python library for fast and powerful data analysis and manipulation.
A Python library for machine learning.
A Python library for creating static, animated, and interactive visualizations.
A Python library for scientific computing.
Beautiful Soup is a Python library that helps you pull data out of HTML and XML files.
Portfolios are how data scientists show their skills and get hired. Create a collection of your strongest projects to show potential clients or employers.
The FinTech Bootcamp is for professionals looking to break into the field of financial technology and learn important skills such as Python programming, financial analysis, and machine learning. This program is best suited for:
In addition to 114 hours of interactive training, you will receive six 1-on-1 mentoring sessions that can be used for career and job support, including polishing your resume, preparing for interviews, and reviewing best practices for applying to jobs. Note, however, that we don’t provide job placement (i.e. reaching out to companies on your behalf).
Students without any background in corporate finance or financial accounting should review our free online prep materials before the course (request the free materials after registration).
Noble’s typical class ranges from 8–12 students, but we accept up to 20 students.
This course is open to beginners with no prior knowledge of Python, programming concepts, or data science. However, participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.
Yes, this course is eligible for our installment plan or a 12-month financing plan through Leif (no interest or financing fees).
Learn more in the Financing section above.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
You have some options:
