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.
Master Excel, review corporate finance, and build a valuation model on a public company. Gain basic and intermediate Excel skills and learn how to read financial statements, build valuations, and predict market trends.
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.
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.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
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.
At the intersection of finance and technology, you’ll find a field colloquially known as FinTech. Any program, website, or app that facilitates financial operations can be considered part of the FinTech realm. This includes (but is not limited to) digitized payment processing, wealth management, banking, credit scoring, and money-lending.
To join a FinTech-related career path, you’ll likely need Python and SQL knowledge in addition to skills like data analytics and visualization, predictive modeling, machine learning, algorithms, and data science. You can learn many of these skills in FinTech bootcamps, which are immersive training programs designed for career preparation. The majority of FinTech bootcamps can be completed in 3 to 6 months, often a fraction of the time it takes to obtain a college degree in the field. Even though the duration might be shorter, you’ll still receive a well-rounded education, connect with like-minded peers, and learn valuable skills needed in today’s data-driven world.
FinTech bootcamps provide ample preparation for high-paying careers like Data Scientist, Software Engineer, and Python Developer, which earn $120,000 to $155,000 per year. Even if you start out as a Financial Analyst, the field’s entry-level role, you’ll still likely make around $80,000, which is close to the local median for Orange County. Financial technology is an ever-evolving vocation that grows as technological capabilities do, meaning these career paths have nearly limitless growth potential.
When looking into Orange County careers for FinTech bootcamp graduates, there are multiple potential avenues you could take. There are plenty of finance-related openings currently available at the prominent Irvine Company, which is responsible for thousands of Orange County jobs. Other top employers that might have space for FinTech roles are the County of Orange, Bank of America Corporate, and UnitedHealth.
FinTech is a broad specialty that includes a wide variety of technologies and verticals within the finance sector. As you search for training programs, you’ll need to decide which areas interest you most, as that will dictate your choices. The only in-person program currently available in Orange County is a Blockchain Development bootcamp from Sabio, located near the Irvine Spectrum.
Other FinTech training might be available in upcoming course catalogs; for example, UC Irvine offers a variety of tech bootcamps in other fields. You might check into their schedule to see if any FinTech courses will be offered in future semesters, or there is always the Rancho Santiago Community College District as well. If you want to learn FinTech and can’t wait for an in-person program to open up, you might try a virtual class instead.
In a live online FinTech bootcamp, you can receive the same high-quality training and skill-building that you’d get in an in-person course. Because you are not tied to a specific location, you’ll have access to subject matter experts and a time-tested curriculum that you might not get to experience if you are limited to the only school available in Orange County.
There are several virtual FinTech bootcamps offered through Noble Desktop, but the most comprehensive of them all is the 102-hour FinTech Bootcamp. This course covers a variety of financial technology tactics and coding languages including Python for data science, machine learning, automation, and finance. It also covers SQL to explore/analyze data and understand advanced querying techniques. You’ll be able to work one-on-one with a mentor in several coaching sessions throughout the bootcamp, where you’ll receive personalized guidance around your studies or job search.
If the 102-hour class is more education than you really need, there are shorter courses that isolate some of the key topics. The 18-hour Python for Finance Bootcamp, for example, is an advanced course that teaches Financial Analysts and related professionals to leverage Python to create advanced models and simulations. Another option is the 30-hour Python for Data Science Bootcamp, which is more focused on using Python for data visualization, statistical modeling, and linear predictions.
Practical Programming, Holberton School, and Coding Temple are a few of the other providers where you can find virtual FinTech bootcamps. In addition to broad training programs geared toward the general FinTech field, these bootcamps focus on topics like Python, data science, machine learning, blockchain, and SQL. There is a wide range of durations and pricing—from 18 hours to 72 weeks and $915 to $12,995—so no matter what your schedule and budget look like, you’ll find a course to fit both.
Because FinTech involves complex concepts like data science and machine learning, you may want to learn more about the subject before diving into a longer course. There are also courses that serve well as supplementary knowledge—maybe there is a topic you’re interested in that isn’t covered in the bootcamp(s) you’re considering. A quick workshop in the field can help provide those introductory lessons or cover additional topics you’re looking for.
Noble Desktop’s Classes Near Me tool has aggregated 13 in-person and live online FinTech courses in Orange County that teach a variety of concepts related to financial technology. If you already have some Python experience, you might try the Machine Learning & Automation for Finance class to learn advanced data analysis, prediction, and task automation. If you are interested in stocks, there is also an Algorithmic Trading with Python class geared toward traders looking to supplement their strategy with automation tactics.
Throughout your search for the perfect FinTech bootcamp, it might start to seem like all of the options blend together. How do you choose the right course for your unique learning needs? As you pore over the various available courses and their specifications, there are a few factors that you might want to keep in mind.
You will first want to decide the amount of time and money you’re able to spend on your education, starting with whether or not you are available for a full-time training program. There are plenty of part-time and evening/weekend courses available—some providers even offer multiple scheduling options for the same bootcamp. Similarly, when it comes to budget, think about how much you can feasibly afford, and be sure to check for available financing options if necessary.
Firming up your budget and schedule should narrow down your search results considerably, but there are other distinctions you can use as tiebreakers if you’re still undecided. Make sure you check into any coaching, mentorship, and job support or guarantees provided by your top choices. These perks can serve as key assets to your personal and career growth long after you graduate from the training program itself.