Python for Finance Bootcamp
Learn to analyze financial data with Python in this intensive bootcamp for current or aspiring financial professionals.
Learn to analyze financial data with Python in this intensive bootcamp for current or aspiring financial professionals.
In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You will start by working with financial APIs to fetch financial, company, and economic data. We will analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will build a risk management models using Python libraries to create VAR models and Monte Carlo simulation. We will learn how to apply statistical measures such as linear regression to financial uses such as stock prices.
Target Audience: This course is ideal for financial analysts and professionals, risk managers, and portfolio managers, as well as those looking to break into a career in finance technology and data analysis.
Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, including built-in data types, data structures, Pandas, and Matplotlib.
Finance Background: 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.
As one of our smaller courses, tuition for this course is due in full before the start date. The best way to save on this course is to take it as part of a certificate program.
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.
We don’t currently offer discounts as we do our best to affordably prices our courses.
Learn the concepts and skills covered in this course or your tuition is on us. See details and terms & conditions.
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Refresh the materials for free within one year
Attend this course 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 & Senior Instructor
Program Director & Senior Instructor
School Director, Instructor, & Senior Course Developer
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 the class 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.
Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, including built-in data types, data structures, Pandas, and Matplotlib.
Finance Background: 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.
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
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Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.
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.
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.
Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
Purchase group class vouchers at a discount for our regularly-scheduled group classes in NYC, or create a custom training program at your offices.
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The first installment is due one week before the first class. Subsequent installments are spread out evenly across the duration of the course.
Installments | |
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10% non-refundable deposit | |
$1,295.00 | Total You Pay |
See the Installment plan FAQ for more information.
Program Director & Senior Instructor
Art Yudin is a FinTech enthusiast who has a great passion for coding and teaching. Art is the founder and CEO of Practical Programming (a Noble Desktop partner company), a leading training company for aspiring developers and data scientists. Currently, Art develops financial services software and leads classes and workshops at Practical Programming in New York and Chicago.
He is the author of several coding publications including "Building Versatile Mobile Apps with Python and REST with React and Django."
Program Director & Senior Instructor
Brian is an experienced instructor, curriculum developer, and professional web developer, who in recent years has served as Director for a coding bootcamp in New York. Brian joined Noble Desktop in 2022 and is a lead instructor for HTML & CSS, JavaScript, Python for Data Science, and Excel. Prior to that, he taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.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.