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.
Financial technology, also referred to as FinTech, is the integration of technological innovation and finance. The field itself is far-reaching as it entails any website, app, or other software that facilitates financial services. This includes (but is not limited to) wealth management, online banking, stock trading, payment processing, lending, and credit scoring.
Anyone looking to prepare for a career path related to financial technology would benefit from a FinTech bootcamp. Bootcamps are longer training programs that are highly skills-focused and jobs-focused; most are designed to impart the necessary knowledge to start in a relevant position as soon as the course is completed. Many people regard bootcamps as a viable alternative to a more formal college education because they provide a similar level of skills in a shorter amount of time.
When looking into FinTech bootcamps, you may come across courses that focus on Python, SQL, or both. While these courses are not explicitly labeled as FinTech, they are still helpful in the field because they are used in heavily data-focused areas and FinTech falls into that category.
FinTech is a lucrative career path in Seattle, with many opportunities. Potential positions include Financial Analyst, Data Scientist, Software Engineer, and Python Developer, most of which earn $110,000 to $140,000. This annual salary range is well above the local median, which is already high nationally at $100,000. Beyond these positions, you could eventually leverage your knowledge and experience to work up to executive-level finance jobs, like VP of Finance or even CFO.
Once you have a goal in mind, you might be wondering where to find careers for Seattle FinTech bootcamp graduates. One option would be to start a FinTech consultancy; freelance work is attractive as it allows you to set parameters for yourself like hours and salary. If you’re not quite ready to branch out on your own, there is a fairly large presence of FinTech companies and startups in the area. You’ll find a wide variety of finance verticals like ecommerce, real estate (home loans), payments, digital currency, and online banking, all of which can benefit from the skills you’ll have after completing a FinTech bootcamp.
For those who prefer in-person learning, there is one option available in the Seattle area. The University of Washington offers a 24-week ||CPN509||; it is a part-time course that meets 10 hours per week. This training program teaches concepts like Python programming, machine learning algorithms, blockchain, and other market-driven skills to prepare you for a career in the field.
Interested in reviewing additional options for FinTech bootcamps but prefer to learn in an in-person environment? Make sure you check back at Noble Desktop’s Classes Near Me page for new classes since the list is updated when new courses become available. Aside from that, you can also check with your local community college or library to see if any bootcamps will be offered soon—otherwise, keep reading for information on virtual options.
If the local in-person selection is lacking, live online courses offer a new level of accessibility since you are not limited to the instructors and venues in Seattle. Virtual bootcamps are still project-based and offer similar hands-on instruction to what you’d get in an in-person class, and you can learn new skills from the location of your choice.
Noble Desktop offers a few different live online FinTech bootcamps that might be a good fit if you are looking to join the field. The longest and most immersive option is the 102-hour ||CPN509||, which teaches Python and SQL programming in the context of finance, machine learning, data science, and automation. In addition to the rigorous education this program offers, you will also receive several sessions with a mentor who will provide support on your classwork, eventual job search, and anything else you wish to discuss in your one-on-one meetings.
Other virtual training programs available through Noble Desktop include the Python for Data Science Bootcamp, a 30-hour course that teaches Python in the context of real-world data analysis. There is also the Python for ||CPN502||, which is an advanced course that focuses on analyzing financial data and requires familiarity with Python before signing up.
You can access further FinTech training programs through virtual providers such as Sabio, Holberton School, Coding Temple, and Practical Programming. The topics covered by these schools' courses include financial technology and other relevant concepts such as Python, SQL, data science, machine learning, and blockchain. You’ll find courses ranging in duration from 18 hours to 72 weeks; whatever amount of time you have to spare, there is a course to fit your schedule.
Financial technology encompasses a wide variety of topics and focuses; it would make sense to familiarize yourself with some of the subject matter before committing to a bootcamp. To do this, you might want to consider taking an abbreviated workshop or two—perhaps a course in Python or SQL, since both are heavily featured in FinTech programs. Even if you see some of the same material in a bootcamp environment after learning it in a shorter class, the familiarity with the topics can only help your progress in the longer program.
Through Noble’s Classes Near Me tool, you’ll find several Seattle FinTech courses available live online or virtually. There is a ||CPN632|| course that teaches data analysis and report automation; however, this course requires prior knowledge of Python programming. If you’re interested in the stock market, you might enjoy the ||CPN213|| class, which offers a way to use Python’s automation capabilities to enhance trading tactics.
Although there are multiple bootcamps to choose from in the realm of financial technology, there are a few key factors you can use to tell them apart. As you search, make sure you are thinking about your budget, scheduling availability, and learning style. These considerations will help you to make the best possible choice for your unique set of needs.
When it comes to budget, you’ll find that some bootcamps are more expensive than others. Don’t let the price deter you—before dismissing a course for being too expensive, check if it offers financing options to help spread out payments over a longer period of time. Once you are in one of Seattle’s high-paying FinTech jobs, the course will pay for itself sooner than you think.