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.
FinTech, which stands for Financial Technology, is a broad term that refers to nearly any form of technological innovation in the finance sector. It encompasses software and/or web apps that provide services such as online banking, payment processing, stock trading, lending marketplaces, credit scoring, and wealth management. It’s a highly rewarding career path, but it demands a strong foundation in several specialized areas, including data analytics, Python and/or SQL programming, data visualization, predictive modeling, algorithmic trading, data science, and machine learning.
One of the best ways to prepare for a career in financial technology is to complete a FinTech bootcamp. An alternative to college, these accelerated programs are designed to give you an immersive education in the topic in around 3-6 months rather than the years it would take to get a diploma. When compared with a formal college education, FinTech bootcamps are an inexpensive way to quickly prepare for a career in the field. Whether you are embarking on a new path or changing specialties, bootcamps can help you find the finance-related job of your dreams in (almost) no time.
Regardless of which program you choose, there are many careers for FinTech bootcamp graduates in Denver. Related expertise can be applied to a variety of careers in the financial sector, including Financial Analyst, Software Engineer, Data Scientist, or Python Developer. The majority of these roles earn high salaries in the Denver area. According to Indeed, the average annual salary for a Financial Analyst in Denver is $81,000, for a Software Engineer, $125,000, a Data Scientist, $122,000, and a Python Developer, $124,000. Considering that entry-level jobs like Office Administrator and Data Entry Clerk bring in less than $40,000, FinTech is a career path with incredibly high earning potential.
Denver and the broader Colorado area have a robust financial services ecosystem, making it an excellent place for FinTech careers. With over 10,000 financial services firms in the state and nearly 230,000 professionals employed in the sector, there’s a wide variety of opportunities for those with expertise in financial technology. Companies like Charles Schwab, FirstBank, and Western Union have large operations in Denver, offering positions in areas such as digital banking, payments processing, and financial data analysis. Roles in these organizations often combine traditional finance knowledge with technical skills in Python, SQL, and data visualization tools, making FinTech expertise highly valuable.
Beyond established financial institutions, Denver has a growing community of FinTech startups that provide unique career paths for professionals looking to work at the forefront of financial innovation. Companies like Ibotta, Galvanize, and Lumin Digital develop solutions for mobile payments, rewards programs, and blockchain applications, creating demand for software engineers, data analysts, and machine learning specialists. These startups often provide opportunities for rapid career growth and the ability to work on projects with direct, measurable business impact.
For those interested in more entrepreneurial or consulting-focused paths, Denver also supports careers in FinTech consulting. FinTech consultants leverage both technical and financial expertise to solve complex business problems, often working with multiple clients on diverse projects.
There are several live online FinTech bootcamps available through Noble Desktop. The most comprehensive choice is the 102-hour FinTech Bootcamp, an incredibly immersive education in Python and SQL for finance, data science, automation, and machine learning. This program offers one-on-one mentoring, an incredibly high-value resource that can help you maintain your learning goals, tackle difficult concepts, and ultimately prepare for your job search.
For learners seeking a broader credential, Noble Desktop also offers a Data Science Certificate. Data science is increasingly essential in finance, helping institutions understand consumer behavior, track investment performance, optimize operations, and identify potential cybersecurity vulnerabilities before they become threats. This program covers Python programming, key data science libraries, and practical skills like building machine learning models and creating dashboards to visualize insights.
Other specialized programs include the Financial Modeling Bootcamp, which dives into corporate finance, accounting, and modeling techniques, preparing students for careers in investment banking, private equity, hedge funds, or real estate. For those starting from scratch in programming, the Python Programming Bootcamp introduces core Python skills and guides students through creating portfolio-ready projects, which are valuable for FinTech roles involving analytics, banking software, and cryptocurrency platforms. For those interested in data-driven approaches, the Python for Data Science Bootcamp focuses on Python basics and its applications in data analysis, providing a solid foundation for handling and interpreting large datasets.
Additional online options include NYIM Training and NYC Career Center’s SQL bootcamp, which accelerates learning in querying databases, and Practical Programming’s FinTech Bootcamp, which emphasizes Python for data analysis, financial projects, and machine learning.
When you deliberate between potential FinTech bootcamps, there are some key considerations you should keep in mind during your search. As these programs are several weeks or months long, you should set your search parameters to ensure the best possible choice for your availability, budget, and learning style.
The schedule and cost of each bootcamp vary. If you know that you cannot take 6+ months off work, you may choose a part-time bootcamp or a course that falls within the 20–40-hour range. For those who may have financial difficulties affording a course that costs thousands of dollars, look into bootcamps that provide financing options. As for learning style, choose a format (live online vs. in-person) that will fit your needs there as well.
Beyond these, one other factor to keep in mind is the benefits each class provides after completion. Assets like one-on-one mentorship and job placement or search assistance can be of service long after the last day of class is over.
Investing in corporate FinTech training can give your organization a competitive edge in today’s rapidly evolving financial landscape. Customized programs that focus on areas such as data science, blockchain, and digital payment systems allow businesses to address their unique challenges. Employees benefit from learning directly from experienced instructors and acquire practical, hands-on skills they can apply immediately. Training can be delivered through interactive online sessions or on-site workshops, giving you the flexibility to design a learning experience that fits your team’s workflow and needs.
Corporate FinTech training goes beyond technical knowledge, fostering a deeper understanding of the intersection between finance and technology. Staff gain proficiency with essential tools like R and Tableau for data visualization while also learning critical topics such as data security, compliance, and regulatory requirements. This comprehensive approach equips employees to tackle real-world challenges in industries ranging from banking and financial consulting to FinTech startups. Programs can also be tailored to emphasize the specific skills that will have the greatest impact on your organization. For businesses looking to enhance their team’s FinTech expertise, Noble Desktop offers leading corporate training programs and can help you create a customized curriculum.