Best Online FinTech Bootcamp
We are proud to have been awarded among the Best Online FinTech Bootcamps by Forbes Advisor for our FinTech Bootcamp.
Get the skills you need for a career in finance technology with the FinTech Bootcamp. Learn Python programming, data science, financial analysis, data visualization, and machine learning to become a Financial Analyst, Data Scientist, or Data Analyst.
Special Promotion: Receive two free electives (Python for AI, Python for Finance Bootcamp, or Financial Modeling Bootcamp) when you register for this certificate program. Contact us after enrolling to be added to the class.
Financial technology is one of the fastest-growing sectors in the industry, and this FinTech Bootcamp is built to get you ready for it. Through hands-on projects and one-on-one mentoring with expert instructors, you'll develop practical skills in Python, SQL, machine learning, and data visualization, all applied to real-world financial challenges. You'll start with Python fundamentals, data types, and structures, then move into querying databases with SQL, building dashboards, creating statistical models, and applying Python to financial analysis topics like portfolio management and financial ratios. By the time you're done, you'll have a portfolio that showcases your abilities and the confidence to pursue entry-level roles as a Financial Analyst or Data Scientist.
No prior experience with Python, data science, or data visualization is required to enroll, making this bootcamp accessible to beginners. That said, participants should have a working familiarity with financial concepts such as NPV, IRR, and stock fundamentals. If you don't have a finance background, just reach out after registration, and we'll point you toward a free on-demand guide to get you up to speed. With FinTech accounting for a growing share of the financial services sector, the skills you'll build here are not only practical but increasingly sought after by employers.
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
Build a strong foundation in Python programming and data analysis through real-world projects that prepare you for advanced topics like machine learning and predictive modeling.
Unit 2 18 Hours
Learn how to extract, filter, and manipulate data using SQL. This course covers PostgreSQL fundamentals, database querying, table joins, and advanced techniques for handling large datasets.
Unit 3 6 Hours
Learn how to automate web tasks and extract valuable online data using Python, with practical training in web scraping, data storage, and script scheduling.
Unit 4 24 Hours
Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.
Unit 5 30 Hours
Gain hands-on experience building predictive models using Python in this practical machine learning course, designed to help you understand core algorithms and apply them to real-world data.
Choose two of the classes below as free electives (contact us after registration).
Bonus 18 Hours
Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.
Bonus 30 Hours
Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.
Learn online at your own pace with video training and live support from our instructors. If you purchase the self-paced option, you can attend the live course for free within one year.
Unit 1 18 Hours
Learn how to extract, filter, and manipulate data using SQL. This course covers PostgreSQL fundamentals, database querying, table joins, and advanced techniques for handling large datasets.
Unit 2 30 Hours
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Unit 3 30 Hours
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Unit 4 6 Hours
Learn how to use Python to extract data from websites and write loops for processing large numbers of pages. This course covers HTML and CSS, Python fundamentals, web scraping techniques, data storage, and scheduling.
Unit 5 24 Hours
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Unit 6
Throughout this program, you will complete three capstone projects to showcase in your portfolio:
You will work on your capstone projects both in and outside of class, using scheduled mentoring sessions to review your progress, ask questions, and get personalized feedback from your instructor.
See examples of data science capstone projects from students.
Choose two of the classes below as free electives (contact us after registration).
Bonus 30 Hours
Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.
Bonus 18 Hours
Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.
Attend this course online as self-paced training with access to an instructor for questions. When you purchase the self-paced course, you may also attend the live course for free within one year.
|
Mar 24–Apr 16
Except: Apr 2, Apr 7 |
Tue & Thu | 6–9pm | SQL Bootcamp |
| Apr 21–May 21 | Tue & Thu | 6–9pm | Python for Data Science Bootcamp |
| May 26–Jun 25 | Tue & Thu | 6–9pm | Python Machine Learning Bootcamp |
| Jun 30 & Jul 2 | Tue & Thu | 6–9pm | Python for Automation |
| Jul 7–30 | Tue & Thu | 6–9pm | Python Data Visualization & Interactive Dashboards |
| Apr 22–24 | Wed–Fri | 10am–5pm | SQL Bootcamp |
| Apr 27–May 1 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
| May 4–8 | Mon–Fri | 10am–5pm | Python Machine Learning Bootcamp |
| May 11 | Monday | 10am–5pm | Python for Automation |
| May 12–15 | Tue–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
| Jun 1–3 | Mon–Wed | 10am–5pm | SQL Bootcamp |
| Jun 8–12 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
| Jun 15–19 | Mon–Fri | 10am–5pm | Python Machine Learning Bootcamp |
| Jun 22 | Monday | 10am–5pm | Python for Automation |
| Jun 23–26 | Tue–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
|
Jun 28–Jul 19
Except: Jul 5 |
Sundays | 10am–5pm | SQL Bootcamp |
| Jul 26–Aug 23 | Sundays | 10am–5pm | Python for Data Science Bootcamp |
|
Aug 30–Oct 11
Except: Sep 6, Sep 13 |
Sundays | 10am–5pm | Python Machine Learning Bootcamp |
| Oct 18 | Sunday | 10am–5pm | Python for Automation |
| Oct 25–Nov 15 | Sundays | 10am–5pm | Python Data Visualization & Interactive Dashboards |
| Jul 20–22 | Mon–Wed | 10am–5pm | SQL Bootcamp |
| Jul 27–31 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
| Aug 3–7 | Mon–Fri | 10am–5pm | Python Machine Learning Bootcamp |
| Aug 10 | Monday | 10am–5pm | Python for Automation |
| Aug 11–14 | Tue–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Need more flexibility? Tap the button below to individually choose class date options for each class in this program.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
We are proud to have been awarded among the Best Online FinTech Bootcamps by Forbes Advisor for our FinTech Bootcamp.
Even if you are a beginner in Python programming, don't worry - all teaching is done in a way students can understand thoroughly.
Dookyoo Kim
FinTech Bootcamp is rated 4.7 stars by 771 students
Jeanette provides a lot of great anecdotes that help everyone understand the content. Outstanding speaker!
The instructor was clear, knowledgeable, and engaging. Great class experience.
Great class to take for finance!
Kash and Brian are passionate, knowledgeable, and personable - just want you want in instructors.
I always enjoy the classes with Rich and look forward to doing more in the future.
Garfield has been a solid instructor for all four of the data science bootcamps I have attended. He is a master of the material and is effective at conveying concepts and theories with an appropriate amount of humor and anecdotes to keep things interesting. The pace of the bootcamp is fast but that was anticipated. We were introduced to all the major concepts of the topics, and I'm enjoying learning further outside the classroom.
I liked the fact that the class is hands-on, and the presentations cover the important concepts very well.
Kash was a great instructor, and I certainly learned a lot. Thanks!
It was great; my Python skills were elevated rapidly in a relatively short amount of time.
Brian was great! Thoughtful and methodical with his programming. Likes to help students.
Take this course if you are interested in learning best practices and principles for safely incorporating AI APIs into your full-stack web applications. Intermediate experience with Python, JavaScript, HTML, and CSS is advisable. I had Brian, the creator of the course, as my instructor. He's passionate about this technology, and you will benefit from his professionalism and real-world experience in this space. At the end of the course, you will know how to augment web applications with AI technology, and you will have two apps and a detailed 141-page reference document to refer back to.
Kash was an excellent instructor! His teaching method is so clear, and I really liked that he gave a variety of simple metaphors. He also ensures we have enough breaks to help ease how intellectually challenging dense lessons on Python can be. Can't thank him enough for his passion for teaching! I will be trying to take another course taught by him because this was fantastic. 10/10!
Super helpful and really learned a lot!
Class contents were well structured to understand the basics of Python.
Garfield is a great instructor! Great pace, instruction, and command over the material. I deeply appreciated his humor and time management.
It was a very nice experience!
Instructor Garfield Stinvil was amazing, very knowledgeable, and helpful. I loved the materials and extra resources given in the class.
Garfield was great as always. Very helpful in breaking down the logic behind the code.
Great format with fantastic explanations.
If you're thinking about taking a Data Science and Python bootcamp, Noble Desktop might be the only one in NYC that still offers both in-person and online courses and class retakes! Python for Data Science with Kash = highly recommended!
The course is very, very well structured. I am amazed to have seen so many things in just one week. And what to say about the instructor, Kash? Simply... Excellent. Someone with huge experience in Python and Data Science, who was able to make us easily understand quite advanced things in just one week! Fully recommended course!
Very good experience and knowledge that will be useful for our job environment.
If you are looking for a fun, fast-paced, challenging introduction to data visualization in Python, this is the course for you.
This class gave me the info that I needed. I enjoyed it greatly and learned a ton.
Outstanding work from Brian. Great course for anyone looking to deep dive into Python.
Showing 25 of 229 reviews
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.
Student financing plan provided through Climb Credit. See the Climb Credit FAQ for more information.
If you’re a company enrolling your employee or an employee seeking tuition reimbursement from your company, choose Corporate Invoice at checkout.
Classes taught by leading photographers, designers, and artists who share real workflows and insights
Stream on-demand video lessons at your own pace. Rewatch anytime, on any device, whenever inspiration strikes
Shabang! I'm really enjoying the class. This course feels like a workshop with step by step demo on every piece of theory and with tons of details."
— Gerald B.
Downloadable guides & practice files crafted to support your creative journey
Connect with thousands of fellow learners and get inspired by creators from around the world
Attend this certificate program in-person in NYC or live online or as self-paced training. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At CreativeLive, 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 185 Madison Ave, 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.
Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.
Our instructors are industry experts and experienced educators, driven to help you succeed.
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 ten 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!
Shareable on
We offer a single 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 one business day of the session’s end. Recordings are available for one month after the session.
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.
A Python library for fast and powerful data analysis and manipulation.
A Python library for machine learning.
Machine learning uses computer algorithms to analyze data. Machine learning (ML) is viewed as a kind of artificial intelligence (AI).
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.
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.
These related courses share skills and topics with FinTech Bootcamp. Select up to two and tap Compare selected courses to view a side-by-side comparison.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Like the Data Science Certificate, the FinTech Bootcamp teaches Python, SQL, machine learning, and automation, and includes additional classes in Python for finance.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
This certificate program equips you with in-demand data analytics skills—Excel, SQL, Python, and Tableau—through hands-on, real-world projects designed to get you job-ready as a Data or Business Analyst.
Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.
Effective Date: 3/17/26
These Terms of Service ("Terms") govern your access to and use of the services, website, courses, and content (collectively, the "Service") provided by CreativeLive, Inc. ("CreativeLive," "we," "us," or "our"). By using the Service, you agree to these Terms.
You must be at least 18 years old to use the Service.
You are responsible for maintaining the confidentiality of your account credentials and for all activity that occurs under your account. You must notify us immediately at support@creativelive.com if you believe your account has been compromised. We may suspend or terminate accounts at any time, for any reason, without liability.
3.1 Payments
All payments are processed through third-party providers. You agree to pay all applicable fees and taxes associated with your use of the Service.
3.2 Subscriptions
Subscriptions automatically renew unless cancelled before the renewal date. By subscribing, you authorize us to apply recurring charges to your payment method on file.
3.3 Subscription Content Limitations
A subscription provides access only to selected content available at any given time. We may, at any time and in our sole discretion:
• Determine which content is included in a subscription;
• Exclude, remove, or replace content without notice;
• Require separate purchases for certain content.
We do not guarantee the availability of any specific content. You agree that:
• You are not relying on any specific content being available;
• Content changes do not entitle you to refunds; and
• Any labeling or display of included content may not always be accurate or current.
3.4 Cancellation and Refund Policy
Please review the following guidelines carefully, as they govern all purchases made through the Service.
On-Demand Classes (A La Carte Purchase)
All on-demand class purchases are non-refundable. If you are unsatisfied with your purchase, you may exchange it for another class or classes of equal value within 7 days of your original purchase. Exchanges are limited to one per purchase.
Live Classes (A La Carte Purchase)
Students may cancel up to 14 days before the class or program start date and receive a refund, less a registration fee equal to 10% of the non-discounted course price. Cancellations within 14 days of the start date are not permitted. However, students may reschedule or receive class credit up to three business days before the class start date.
Subscriptions
Monthly subscription plans are non-refundable. Annual subscription plans may be refunded within 7 days of purchase, one time per customer. Subsequent annual subscription purchases by the same customer are non-refundable.
For any questions regarding exchanges or refunds, please contact our support team at support@creativelive.com.
3.5 Pricing Changes
We may change pricing at any time. Pricing changes apply to future billing periods.
We may, from time to time, offer promotions, discounts, or special offers. All promotions:
• Are offered at our sole discretion;
• May be modified, suspended, or terminated at any time; and
• Are subject to additional terms that may be provided separately.
To the maximum extent permitted by law, promotions and discounts may be subject to conditions, limitations, or restrictions determined by us in our sole discretion. We are not required to publish or make available specific promotional terms, and any perceived errors, omissions, or inconsistencies in promotional materials do not create binding obligations.
You are granted a limited, revocable, non-transferable license to use the Service for personal, non-commercial purposes only. You may not copy, distribute, sell, reverse engineer, or otherwise exploit any part of the Service or its content.
Content may be provided by third-party instructors or partners under separate agreements. You have no rights under those agreements, and we are not obligated to provide access to any specific instructor or content.
If you submit content to the Service (such as reviews, gallery submissions, or comments), you grant us a worldwide, royalty-free, perpetual, irrevocable, transferable, sublicenseable license to use, reproduce, distribute, display, and create derivative works from that content for the purpose of operating and promoting the Service. We may remove any user-submitted content at any time, for any reason, without notice or liability.
All content and materials available through the Service are owned by CreativeLive or its licensors and are protected by applicable copyright, trademark, and other intellectual property laws. Nothing in these Terms grants you any ownership interest in any Service content.
We respect intellectual property rights and expect users to do the same. If you believe your copyrighted work has been infringed through the Service, please submit a written notice to our designated agent that includes:
• An electronic or physical signature of the person authorized to act on behalf of the copyright owner;
• Identification of the copyrighted work claimed to have been infringed;
• A description of where the allegedly infringing material is located on the Service;
• Your contact information, including address, telephone number, and email address;
• A statement of good faith belief that the use is not authorized by the copyright owner, its agent, or the law; and
• A statement, under penalty of perjury, that the information in your notice is accurate and that you are authorized to act on behalf of the copyright owner.
DMCA notices should be sent to:
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
We may, in appropriate circumstances, suspend or terminate the accounts of repeat infringers.
Counter-Notification
If you believe that content you posted was removed by mistake or misidentification, you may submit a counter-notification to our designated agent that includes your physical or electronic signature, identification of the removed material and where it appeared, your contact information, a statement under penalty of perjury that the content was removed by mistake or misidentification, and consent to the jurisdiction of the Federal District Court for the judicial district in which your address is located.
We may suspend or terminate your access to the Service at any time, for any reason, without notice or liability. Upon termination, all licenses granted to you under these Terms will immediately cease.
THE SERVICE IS PROVIDED "AS IS" AND "AS AVAILABLE" WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED. TO THE FULLEST EXTENT PERMITTED BY LAW, CREATIVELIVE DISCLAIMS ALL WARRANTIES, INCLUDING IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. WE DO NOT GUARANTEE THE AVAILABILITY, ACCURACY, OR COMPLETENESS OF ANY CONTENT OR THE SERVICE, OR THAT THE SERVICE WILL MEET YOUR REQUIREMENTS OR BE UNINTERRUPTED OR ERROR-FREE.
TO THE MAXIMUM EXTENT PERMITTED BY LAW, CREATIVELIVE'S TOTAL LIABILITY TO YOU FOR ANY CLAIM ARISING OUT OF OR RELATING TO THESE TERMS OR YOUR USE OF THE SERVICE IS LIMITED TO THE GREATER OF (A) THE AMOUNT YOU PAID TO US IN THE 12 MONTHS PRECEDING THE CLAIM, OR (B) $100. IN NO EVENT WILL WE BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR EXEMPLARY DAMAGES, REGARDLESS OF THE CAUSE OR WHETHER WE HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. SOME JURISDICTIONS DO NOT ALLOW THESE LIMITATIONS, SO THEY MAY NOT APPLY TO YOU IN FULL.
You agree to indemnify, defend, and hold harmless CreativeLive, Inc. and its affiliates, officers, directors, employees, agents, and licensors from and against any and all claims, damages, losses, costs, and expenses (including reasonable attorneys' fees) arising from or related to your use of the Service, your User Content, or your violation of these Terms.
All disputes arising out of or relating to these Terms or the Service will be resolved exclusively through binding arbitration in New York, NY, in accordance with the rules of the American Arbitration Association. You waive the right to a jury trial and the right to participate in any class action or representative proceeding.
Notwithstanding the foregoing, CreativeLive may bring claims in court for matters involving intellectual property, unauthorized use, or fraud.
You may opt out of this arbitration agreement by sending written notice to support@creativelive.com within 30 days of first accepting these Terms. If you opt out, disputes will be governed by Section 15 below.
These Terms are governed by the laws of the State of New York, without regard to its conflict of laws provisions. To the extent any dispute proceeds in court rather than arbitration, you consent to exclusive jurisdiction in the state and federal courts located in New York, New York.
We may update these Terms at any time. We will post the updated Terms on the Service. Your continued use of the Service after any update constitutes acceptance of the revised Terms.
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
Effective Date: 3/17/26
This Privacy Policy explains how CreativeLive, Inc. ("we," "us," or "our") collects, uses, stores, discloses, and otherwise processes personal information through the Service.
We may collect the following categories of information:
• Account information: name, email address, username, and password;
• Payment-related information: processed through third-party payment processors; we receive only transaction confirmations;
• Usage data: activity on the Service, pages and content viewed, session duration;
• Device and technical data: IP address, browser type, operating system, and device identifiers;
• Communications and submissions: messages, reviews, gallery content, and other content you submit; and
• SMS data: if you opt in, your phone number and consent data for SMS communications.
We use the information we collect to:
• Provide, maintain, and improve the Service;
• Process payments and fulfill orders;
• Communicate with you about your account, purchases, and the Service;
• Send marketing messages, subject to your opt-out rights;
• Send SMS communications, if you have opted in (see Section 3);
• Detect fraud and maintain the security of the Service; and
• Comply with applicable legal obligations.
If you opt in by providing your phone number and checking the applicable consent box, we will collect your phone number and consent data to send SMS communications, including payment reminders, service updates, and responses to inquiries. We may share this data with trusted third-party messaging platforms solely for delivering SMS services, subject to confidentiality obligations. SMS data is securely stored and retained only as long as necessary to fulfill its purpose or meet applicable legal obligations. You may opt out at any time by replying STOP to any of our messages or by contacting us at support@creativelive.com.
We may share your information with:
• Service providers: third parties that assist with hosting, analytics, payment processing, fraud prevention, and other operational functions, under confidentiality obligations;
• Business partners or successors: in connection with a merger, acquisition, or sale of assets;
• Legal authorities: when required by law, court order, or to protect our rights; and
• Other parties with your consent.
We do not sell personal information.
We use cookies and similar technologies for core functionality, analytics, and marketing and advertising purposes. You can control cookies through your browser settings, though doing so may affect how the Service functions. We may expand our use of cookies and similar technologies in the future.
We retain information for as long as necessary for business, legal, and operational purposes, including fraud prevention, compliance with applicable law, and enforcement of our Terms.
You may:
• Access or update your account information by logging into your account;
• Opt out of marketing emails by clicking the unsubscribe link in any marketing email or contacting us at support@creativelive.com; and
• Request deletion of your personal information, subject to applicable legal limitations, by contacting us at support@creativelive.com.
We use reasonable technical, administrative, and physical safeguards to protect your information. However, no system is completely secure and we cannot guarantee the absolute security of your information.
The Service is not intended for users under 18 years of age. We do not knowingly collect personal information from anyone under 18. If we learn that we have done so, we will delete it promptly.
If you are located in the European Union, the following additional rights apply to you under the General Data Protection Regulation:
• Right to access the personal information we hold about you;
• Right to correct or update inaccurate personal information;
• Right to request deletion of your personal information, subject to applicable exceptions;
• Right to restrict or object to certain types of processing;
• Right to withdraw consent at any time where processing is based on consent; and
• Right to lodge a complaint with a supervisory authority in your country of residence.
We process personal information only where we have a lawful basis to do so, including your consent, performance of a contract, a legitimate business interest, or a legal obligation. Personal information may be transferred to and processed in the United States. Where required, we implement appropriate transfer mechanisms, including standard contractual clauses approved by the European Commission.
To exercise your rights, please email support@creativelive.com with the subject line "GDPR."
If you are a California resident, the California Consumer Privacy Act provides you with the following rights:
• The right to know what personal information we have collected, used, disclosed, or sold about you;
• The right to request deletion of your personal information, subject to certain exceptions;
• The right to opt out of the sale of your personal information (note: we do not sell personal information); and
• The right to non-discrimination for exercising your CCPA rights.
To submit a verifiable consumer request, please email support@creativelive.com with the subject line "CCPA." We will respond within 45 days of receipt. You may designate an authorized agent to make a request on your behalf.
Depending on where you reside, you may have additional rights under applicable state privacy laws. We will not discriminate against you for exercising any privacy rights available to you.
If you access the Service from outside the United States, your information may be transferred to and processed in the United States, where data protection laws may differ from those in your country.
We may update this Privacy Policy at any time by posting the revised policy on the Service. Continued use of the Service following any update constitutes your acceptance of the revised policy.
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
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 Data Visualization & Interactive Dashboards | $1,695 |
| â–´ Your 10% deposit has been applied, as well as the certificate discount of $1,490 | ||
| Free | Python Machine Learning Bootcamp | $1,895 |
| $4,995.00 | Total You Pay | |
Instructor
Richard is the lead instructor for several finance courses, including Financial Accounting & Financial Statement Analysis, Stock Market Investing, and Financial Modeling, at Noble Desktop. Richard trained new Investment Bank and Private Equity hires, including the Bank of America and Houlihan Lokey, in Modeling Mergers & Acquisitions, Trading Comps, LBOs, DCF, and 3 Statement Financial modeling. He also taught graduate university courses in Accounting, Financial Derivatives (Futures, Options, and Swaps), Fixed Income Analytics, and Corporate Finance. He currently teaches undergraduate courses in Financial Management and Data Analytics at Sacred Heart University in Fairfield, CT. Richard supported the Foreign Exchange Desk and Equity Desk at JP Morgan, worked as an equity research analyst at Malley Associates in NYC, developed Trade Capture Systems for Foreign Exchange and Bond Trading, and worked as a consultant, modeling/valuing real estate development (including corporate lease agreement analysis), and financial planning. Richard holds an MBA in Finance, was awarded the CFA (Chartered Financial Analyst) charter, the CAIA (Chartered Alternative Investments Analysts) charter, and the CMA (Chartered Management Accountant) charter.School Director, Instructor, & Senior Course Developer
Dan Rodney has been a designer and web developer for over 20 years, creating coursework and leading innovative training initiatives at Noble Desktop. Dan has been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop’s latest AI course offerings. In addition to teaching and curriculum development, he writes custom scripts for InDesign (Make Book Jacket, Proper Fraction Pro, and more) and works with automation and AI-driven tools in his free time. You can find Dan on X (Twitter), LinkedIn, Facebook, and at danrodney.com.