FinTech Bootcamp
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.
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.
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.
Jun 12–16 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jun 20–22 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Jun 23 | Friday | 10am–5pm | Python for Automation |
Jun 26–30 | Mon–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Jul 5–11 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Jul 17–21 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jul 24–31 | Mon–Thu | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Aug 1–3 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Aug 7 | Monday | 10am–5pm | Python for Automation |
Aug 8–15 | Tue–Mon | 10am–5pm | Python Machine Learning Bootcamp |
Aug 9–28 | Wed & Mon | 6–9pm | SQL Bootcamp |
Aug 30–Oct 9
Except: Sep 4, Sep 25 |
Wed & Mon | 6–9pm | Python for Data Science Bootcamp |
Oct 11 & 16 | Wed & Mon | 6–9pm | Python for Automation |
Oct 18–Nov 20 | Wed & Mon | 6–9pm | Python Data Visualization & Interactive Dashboards |
Nov 27–Jan 3
Except: Dec 25, Jan 1 |
Mon & Wed | 6–9pm | Python Machine Learning Bootcamp |
Sep 18–22 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Sep 26 | Tuesday | 10am–5pm | Python for Automation |
Sep 27–29 | Wed–Fri | 10am–5pm | SQL Bootcamp |
Oct 2–6 | Mon–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Oct 10–16 | Tue–Mon | 10am–5pm | Python Machine Learning Bootcamp |
Sep 23–Oct 21 | Saturdays | 10am–5pm | Python for Data Science Bootcamp |
Oct 28–Nov 11 | Saturdays | 10am–5pm | SQL Bootcamp |
Nov 18 | Saturday | 10am–5pm | Python for Automation |
Dec 2–Jan 13
Except: Dec 23, Dec 30 |
Saturdays | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Jan 20–Feb 17 | Saturdays | 10am–5pm | Python Machine Learning Bootcamp |
Nov 13–15 | Mon–Wed | 10am–5pm | SQL Bootcamp |
Nov 27–Dec 1 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Dec 4 | Monday | 10am–5pm | Python for Automation |
Dec 5–12 | Tue–Mon | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Dec 13–20 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Jan 16–18 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Jan 22–26 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jan 29–Feb 5 | Mon–Thu | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Feb 6 | Tuesday | 10am–5pm | Python for Automation |
Feb 7–14 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Need more flexibility? Tap the button below to individually choose class date options for each class in this program.
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, so additional discounts do not apply.
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.
Our instructors are verterans of their field and experienced educators, driven to help you succeed.
Program Director & Instructor
School Director, Instructor, & Senior Course Developer
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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We offer a single free retake of the any module or the whole program within a year.
You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.
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.
Create animated bar chart race with Python's bar-chart-race library
Learn to customize your visualizations with vibrant color schemes
Learn to overlay and compare trends in your data
Learn to graph commodity prices and other kinds of timeseries data
Learn to take cross-sections of your data and find patterns
Learn how to create impressive data visualizations
Learn SQL to query databases, create functions and variables, and more
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:
Select up to two courses and tap Compare selected courses to view a side-by-side comparison of FinTech Bootcamp with your selected courses.
Master the tools to become a Data Scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Like the Data Science Certificate, the FinTech Bootcamp teaches Python, SQL, machine learning, and automation, and includes additional classes in Python for finance.
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
Learn the skills you’ll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.
Learn essential finance & accounting concepts while building a comprehensive discounted cash flow (DCF) model in Excel. This financial modeling class blends finance, accounting and Excel concepts into an intensive 3-day course.
Master the major Python financial libraries to gather and manipulate financial data. Use APIs to fetch financial, company, and economic data. Analyze financial statements from the SEC website, including ratios derived from the income statement and balance sheet. Build risk management models and apply linear regression to predict stock prices.
Excel spreadsheets have been the standard in the business world, allowing people to leverage spreadsheets for everything from accounting to managing schedules. As one of the world’s most popular software programs, Excel is used in all fac...
In this article, we'll discuss two of the most popular tools for data analytics, Excel and Python. We'll walk through how each of these tools fares across a variety of dimensions to help you with your next steps in professional development and learning.
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Each installment is charged to your card on file one week before the start of the associated course. The payment schedule may vary if the courses are taken in a different order.
Installments | List Price | |
---|---|---|
$499.50 | 10% non-refundable deposit | -- |
$1,495.00 | Python for Data Science Bootcamp | $1,495 |
$975.00 | SQL Bootcamp | $975 |
$425.00 | Python for Automation | $425 |
$1,600.50 | Python Machine Learning Bootcamp | $1,895 |
▴ Your 10% deposit has been applied, as well as the certificate discount of $1,490 | ||
Free | Python Data Visualization & Interactive Dashboards | $1,695 |
$4,995.00 | Total You Pay |
See the Installment plan FAQ for more information.
Program Director & Instructor
Mourad Kattan is an instructor and Program Director for Finance & Excel at Noble Desktop, teaching classes and designing courses in Excel, finance, accounting, and financial modeling.
Before Noble Desktop, Mourad worked as a financial analyst at Credit Suisse and H/2 Capital Partners. In those positions, he used advanced analytical and financial skills to evaluate a variety of investments.
Mourad graduated from the University of Pennsylvania summa cum laude and is part of the Beta Gamma Sigma honor's society.
School Director, Instructor, & Senior Course Developer
Dan Rodney has been a designer and web developer for over 20 years. He creates coursework for Noble Desktop and teaches classes. In his spare time Dan also writes scripts for InDesign (Make Book Jacket, Proper Fraction Pro, and more). Dan teaches just about anything web, video, or print related: HTML, CSS, JavaScript, Figma, Adobe XD, Sketch, After Effects, Premiere Pro, Photoshop, Illustrator, InDesign, and more. You can find Dan on Twitter, LinkedIn, Facebook, and at danrodney.com.