Best FinTech Bootcamps Orlando, FL: Find Bootcamps & Certificates

Top Orlando FinTech Bootcamps

FinTech Bootcamp Learn The Skills Guarantee™

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.

Learn more & register Explore Noble Desktop’s FinTech courses
- $4,995
- 114 hours
- Free retake
- Live Online or NYC
- 1:1 Mentoring Included
Featured course from
General Assembly Data Science Bootcamp

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

In-person @ 100 E Pine Street, Orlando, FL Also available online
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
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Noble Desktop Python for Finance Bootcamp

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.

Available live online (virtual training) from anywhere
- $1,295
- 18 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Noble Desktop Python for Data Science Bootcamp

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Available live online (virtual training) from anywhere
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Practical Programming FinTech Bootcamp

Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.

Available live online (virtual training) from anywhere
- $2,995
- 60 Hours
- See provider
- Beginner
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Practical Programming Python for Data Science Immersive

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

Available live online (virtual training) from anywhere
- $1,495
- 30 Hours
- Weekdays
- Beginner
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showing 6 of 6 courses

Discover the thriving industry of Financial Technology (FinTech) and how it's transforming the traditional financial services with groundbreaking technology. Explore your career prospects in this evolving field by honing your skills in Python and financial analysis through FinTech bootcamps and classes.

Key Insights

Financial Technology (FinTech) involves the application of financial analysis, algorithm trading, and automation techniques, playing a significant role in online banking, automated investing applications, and online payment services.
The FinTech industry has a growing demand for experts due to the increasing reliance of consumers on finance apps and online platforms, offering a promising career path for those proficient in the field.
Building skills in Python and related programming tools is crucial for data scientists and analysts in the financial industry. Financial institutions often send employees to FinTech bootcamps to acquire these skills.
The city of Orlando, with its large pool of technical resources and low cost of business, provides fertile ground for FinTech innovation. Average salaries in this field start at $58,000 for Financial Analysts and reach up to $105,000 for Data Scientists.
FinTech bootcamps provide in-depth, job-related training in financial analysis, algorithm trading, and automation techniques. They equip students with practical knowledge and experience, making them more attractive to potential employers.
Noble Desktop and other institutions offer a range of online and virtual FinTech courses and bootcamps, covering all aspects of the industry and equipping students with the skills they need for a successful career in FinTech.

Learn more below

FinTech Topics

Python Data Science

Python is a general-purpose programming language that is known for being easily readable and visually uncluttered due to its use of whitespace to divide blocks. Used to create applications such as YouTube and DropBox, Python can be used to scrape web pages, making it a powerful tool for data analysis. Perfect for fintech startups, Python can collect and organize assembled data for analysis. Python has broad machine learning capabilities that make it agile and adaptive.

Explore Python Data Science Bootcamps

Machine Learning

Machine learning refers to the process by which a system can “learn” from experience and adjust algorithms to improve effectiveness. Used in natural language processing, computational biology, image processing, and computational finance, machine learning is a potent tool for collecting, organizing, and understanding data. FinTech startups use unsupervised machine learning to detect hidden patterns of significance in data and adjust algorithms as needed.

Explore Machine Learning Bootcamps

Financial Modeling

Financial modeling is the process by which analysts can create visual representations of business data. FinTech startups rely on financial models to create forecasts, anticipate ongoing stock performance, and make data-driven decisions. Financial analysts provide cash-flow analyses, forecast and valuation models, and other reports that inform investment decisions and policy changes.

Explore Financial Modeling Bootcamps

SQL

SQL stands for Structured Query Language. It is a domain-specific language used by fintech startups and data scientists, (along with Python and R) to manage data using relational database management systems. Using several language elements, such as clauses, expressions, queries, statements, and predicates, SQL can query data within a relational database. Fundamentally a declarative language, SQL, includes procedural elements.

Explore SQL Bootcamps

Orlando FinTech Bootcamps by School

Here are some of the top Orlando schools offering FinTech training, including General Assembly (1 course). We’ve also included 2 schools that offer live online courses you can take from anywhere, including Orlando.

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
Noble Desktop’s Top Live Online FinTech Bootcamps
- FinTech Bootcamp
  - 114 Hours
  - $4,995
  In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.
- Python for Finance Bootcamp
  - 18 Hours
  - $1,295
  Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
  In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.
General Assembly

Orlando location: 100 E Pine Street, Orlando, FL, 32801 US

General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
General Assembly’s Top Orlando FinTech Bootcamps
- Data Science Bootcamp
  - 12 Weeks
  - $16,450
  Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.
Practical Programming
Locations:
- NYC
- Chicago
- Live Online
Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
Practical Programming’s Top Live Online FinTech Bootcamps
- FinTech Bootcamp
  - 60 Hours
  - $2,995
  Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
  This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

showing 3 of 3 schools

Orlando FinTech
Corporate & Onsite Training

Upskill or reskill your workforce with our industry-leading corporate and onsite FinTech training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment FinTech courses.

corporate@nobledesktop.com (212) 226-4149

FinTech Training Locations in or Near Orlando

Find an in-person class in Orlando. We found 1 school offering face-to-face training and 1 offering live online FinTech courses.

Learn FinTech for a New Career

FinTech is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Financial Analyst

Salary in Orlando

$67,000 / year
13.44% less than the U.S. average

Financial analysts use their business, finance, or accounting background to analyze data and make recommendations for investments. They study past, present, and future business and economic trends to provide data-driven insights for business decision-making. Financial analysts take on roles as fund managers, portfolio managers, investment advisors, and risk analysts. Many earn additional credentials in the field, such as Certified Public Accountant or Project Management Professional certifications.
Learn about becoming a Financial Analyst
Data Scientist

Salary in Orlando

$100,000 / year
17.93% less than the U.S. average

Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. Governments, non-profits, and businesses of all types rely on data for forecasting, risk management, and resource allocation. Data scientists discover and analyze trends in data, and report their findings to stakeholders. They will use algorithms and models to simplify and mine data sets to create data-driven recommendations. Data scientists are needed across a handful of industries, especially the ubiquity of data and the reliance on it for business decision-making.
Learn about becoming a Data Scientist
Software Engineer

Salary in Orlando

$96,000 / year
8.27% less than the U.S. average

Software engineers use their extensive knowledge of user experience design, operating systems, and programming languages to develop software. They can create different types of software, from games to operating systems. After analyzing a client's needs, they design, develop, and test software to meet that need. Software engineers can be divided into two distinct career categories: application engineers and systems engineers.
Learn about becoming a Software Engineer
Python Developer

Salary in Orlando

$130,000 / year
2.4% less than the U.S. average

Python Developers typically choose to focus on back end web development, data science or analysis, scripting, or product development. They build the server side of websites, processes for data analysis, and create automation scripts.
Learn about becoming a Python Developer

showing 4 of 4 career paths

Indeed.com salary data from November 2024

Learn More About Orlando FinTech Bootcamps

What is FinTech?

FinTech (financial technology) refers to software, mobile applications, and other technologies created to improve and automate traditional forms of finance for businesses and consumers alike. FinTech can include everything from straightforward mobile payment apps to complex blockchain networks housing encrypted transactions.

FinTech has been around longer than you may think; early credit cards in the 1950s generally considered the first FinTech products available to the public.. It evolved from there to include bank mainframes and online stock trading services, and then was catapulted forward in 1998, by the founding of PayPal — a breakthrough that has been further revolutionized by mobile technology, social media, and data encryption. The evolution of FinTech has led to the invention of mobile payment apps, blockchain networks, and social media-housed payment options we regularly use today.

By simplifying financial transactions, buying and selling goods has become more accessible and generally more affordable. With the invention of FinTech, potentially unnecessary steps for all involved parties have been eliminated, creating a more streamlined and user-friendly process.

What Can You Do with FinTech Bootcamp Training?

You may be surprised by how widely applicable FinTech can be. As a FinTech professional, you could work in a variety of fields. A few of these are outlined below:

Financial modeling: Using mathematical models to represent financial situations or assets, financial modeling is an important tool in the world of finance. FinTech companies depend on financial modeling to project their revenue and key financial metrics, like transaction volumes and client acquisition costs.

FinTech cybersecurity: Protecting digital financial data and operations from online threats, including protecting banking information, mobile transfers, electronic payment systems, and cryptocurrency trading. Individuals employed in cybersecurity roles in the FinTech industry need to prioritize system security and user data; therefore, they need strong technical skills, knowledge of financial systems, and strong analytical and problem-solving abilities

Data science and analysis: With data science, analysts in the FinTech industry can rely on advanced analytics to gain insight into their services, such as the degree of efficiency and customer experience with their products. Analysts then use insights to develop data-driven decisions to make improvements. Data science and its analysis can help companies develop predictive models and evaluate risk, segment customers based on their behavior and demographics, and develop machine learning models that detect fraud.

Learning FinTech can also benefit your personal life. You can take what you learn in a FinTech class and create a budget as well as plan for future financial endeavors. You can also learn how to deduce a smart investment, developing algorithms to optimize investment performance or help manage your own retirement.

What Will I Learn in a FinTech Bootcamp Class?

The subjects covered in a FinTech bootcamp can vary but, generally, a course will focus on a few main subjects. These are outlined below so you can get a better idea of what to expect in your professional training.

Financial Analysis

Financial analysis is used to evaluate economic trends, set financial policy, build long-term plans for business activity, and identify projects or companies for investment. This is done through the synthesis of financial numbers and data. A bootcamp will cover how financial analysis is applied within the field of FinTech, teaching you all the basics you need to know to get started.

Programming

FinTech developers need to be proficient in programming languages and have a deep understanding of how to use them. Most programmers need to learn Python, SQL, C++, or Java. Depending on the position, one may also need skills in Ruby, PHP, HTML, CSS, and JavaScript. A bootcamp course will cover at least a few of these to help you get established.

Data Science

Data science is used in FinTech to improve operations and customer experiences by analyzing large amounts of data to gain insights. It can be used to improve and assist with fraud detection, risk management, personalized financial products, credit scoring, and insurance underwriting.

FinTech companies also use data science to evaluate vulnerabilities in their systems and applications. Automated scanning tools can detect weaknesses in software, configurations, and infrastructure, enabling prompt remediation before they can be exploited by cybercriminals.

Data Visualization

Data visualization tools help financial professionals quickly identify trends and patterns in complex data sets. This can help with making informed decisions, such as identifying high-risk loan applications. You can use data visualization to identify hidden patterns in financial transactions, which can help with real-time fraud detection and proactive risk management; understand how customers interact with their products, which can help with personalizing services and improving customer satisfaction; make complex financial reports easier to understand for investors, regulators, and everyday users; and forecast future financial trends, market conditions, and customer behaviors.

Machine Learning

Machine learning uses algorithms, rather than a set of explicitly programmed instructions, in order to analyze information, make decisions and learn from those decisions. The application of machine learning is highly suited for the financial industry due to reliable historical trends, high volume of data, and its quantitative nature. By leaving trading decisions up to machines, investors are able to remove human bias from the equation, helping make calculated, accurate decisions. Additionally, while still early in its practical application, machine learning has great potential to help banks keep up with regulatory compliance. A FinTech bootcamp will introduce you to the basics of ML and how it can be best utilized to meet specific goals within the field.

How Hard is it to Learn FinTech?

The difficulty involved in learning FinTech depends significantly on how you study it, how much you’ll need to apply your knowledge, and your existing level of experience with related topics like programming, mathematics, and various tools. Because it’s a more technical field, it can be challenging to master but, with the right amount of focus and dedication, anyone can become a FinTech expert.

What are the most challenging parts of learning FinTech Bootcamp?

Arguably one of the most challenging aspects to mastering FinTech is learning industry-specific tools. For example, if you plan to become a Data Scientist, you’ll need to learn programming languages like Python. Some companies may require Power BI training, others will want Tableau expertise, and others may expect familiarity with both. Additionally, because FinTech is based on the idea of innovative financial technology, the demand for high-tech solutions never stops. What someone learned in 2021 may become nearly obsolete by 2024, so staying up to date on industry standards will be key.

How Long Does it Take to Learn FinTech?

Answering this question will depend on a few factors. Some FinTech or data science roles require a formal degree and years of experience but you may be able to qualify for an entry-level position through a bootcamp or certificate program. These types of courses typically run from around four to six weeks but this can vary if you choose to attend part-time or full-time.

You’ll also want to consider what roles you want to pursue as this can impact the length of time it takes to complete your training, especially if there are certification or degree requirements. To help determine the time commitment required, it’s important to research the field and develop a targeted goal.

Should I Learn FinTech In Person or Online?

Many factors need to be considered when answering this question. Firstly, you’ll need to know what learning environment is best for you. Do you thrive in a collaborative environment that allows you to interact with your peers and receive instant feedback from your instructor? Or, do you prefer a more solitary learning environment where you can learn at your own speed?

You’ll also need to decide how much time you can commit to your education and what level of flexibility your schedule demands. Do you want to dive deeply into an intensive program? Do you work full-time and require your classes to be scheduled for evening and weekend hours?

In-person classes offer face-to-face interaction with your fellow students and your expert instructor. This collaborative environment is available for full-time and part-time courses and provides structure and accountability, two things that can help you succeed. Online courses may lack this in-person interaction, but they make up for it with increased flexibility. Live virtual courses still benefit from instant instructor feedback and interactions with other students, while on-demand virtual training allows for the most flexibility since you can decide where and when you learn.

The good news is that, no matter which version you attend, you can obtain a quality social media marketing education with a top-notch curriculum and expert instructors.

Can I Learn FinTech Free Online?

Technically, it is possible to learn FinTech for free online. YouTube videos, blogs, and free short workshops can all be a great way to learn the basics without purchasing educational content. (Don’t forget to watch the most recent uploads so you’re learning the latest trends and techniques.)

But, when it comes to the more advanced skills, an in-depth training course is going to be your best bet. These courses will consist of a curriculum developed and taught by experts with the ability to receive feedback or troubleshoot any issues with your instructor or a support team. Formal training can also provide the structure and accountability that some students need to stay focused, creating an environment where you’re more likely to succeed. So, if you’re looking to master more than just the basics, a formal workshop or class is a better choice than free online resources.

What Should I Learn Alongside FinTech?

The complementary skills you learn will be dictated by what your FinTech training does or does not cover. For instance, if your course doesn’t include training on artificial intelligence (AI) or machine learning (ML), both of these subjects would be beneficial to study. AI and ML can be important factors in FinTech roles, and many FinTech professionals today see these technologies taking on bigger roles in the future. Insurance companies now use AI and ML to evaluate policyholders’ risk profiles; asset managers use complex algorithms to improve forecasting and create personalized investment recommendations; and since both can detect unusual account activity, they provide a level of automated cybersecurity for banks and other financial institutions.

Along the same lines, if your training program only covers one or two programming languages, like JavaScript and C++, it’s recommended you also learn others like Ruby, SQL, React, or Python. If your training doesn’t include Tableau, it’s also recommended that you become familiar with it as well, as it can help you immensely with data visualization. When deciding what else to learn alongside FinTech, take a look at your program’s curriculum and identify the tools and techniques that are missing. This will give you a good place to start.

Industries that Use FinTech

Orlando’s various thriving industries and ever-growing economy make it the perfect place to study and work with FinTech. Below are some of the top industries in the region, each of which will utilize FinTech experts in a variety of ways. Check out these industry options to get one step closer to your dream career.

Advanced Manufacturing

Centrally located in Florida, Orlando is one of the world’s few quinti-modal transportation centers, making transportation easily accessible by land, air, sea, rail and even space, making it an ideal location for the advanced manufacturing industry. Over 2,400 advanced manufacturing companies, 115,000 manufacturing employees, and 6,000 annual graduates in related programs are all proof of the thriving manufacturing sector in the city.

Aerospace and Defense

Seven of the largest industry aerospace and defense firms on the Fortune 500 list all have operations in or near Orlando, including some of Florida’s biggest aerospace manufacturing operations. Over 76,000 tech workers call the city home, as does the nation’s top aerospace and defense workforce supplier, University of Central Florida. So it comes as no surprise that there are more than $6billion worth of annual simulation-related contracts in the region.

Digital Media

Orlando is also a creative hub with a combination of industry and education contributing to the tech economy that supports not only the region’s massive theme park and attractions industry, but the expanding footprints of many other major corporations including Lockheed Martin, Darden Restaurants, Siemens and more. The city even has a 68-acre creative village that supports a high-tech cluster in downtown Orlando. Digital media co-exists with almost every other major industry in the region, employing countless Photoshop professionals to help them communicate their brand identity and engage with customers through the medium of image.

Life Sciences and Healthcare

Orlando’s life sciences industry is home to groundbreaking medical advances, thanks in part to large health systems like AdventHealth and Orlando Health. More than 195,000 professionals are employed in the life sciences and healthcare sector, and major players like CVS and Walgreens call the region home.

FinTech Job Titles and Salaries

FinTech startups are shaking up the banking sector and challenging the dominance of traditional financial services. A large chunk of the American population already uses FinTech and the industry is only going to continue to grow, leading to ever-increasing job opportunities. Below are a few of the jobs you could pursue as a FinTech expert so that you can get an idea of what your future could hold.

Blockchain Developer

FinTech companies are adept at adapting new technologies to better their services. They did it with mobile internet and digital communications to facilitate international payment. As a result, blockchain is one of the most in-demand and lucrative jobs in FinTech. Your role as a Blockchain Developer may include building apps with blockchain technology, developing smart contracts, and creating and maintaining decentralized digital databases. As a Blockchain Developer, you can expect to make around $132,000 in Orlando.

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to solve financial and risk management problems. FinTech companies hire them to help manage risks, identify potential investment opportunities, and make sound financial decisions. In Orlando, you can expect to make around $140,217 per year as a Quantitative Analyst.

Data Scientist

Many FinTech startups can attribute their exponential growth to their ability to improve through feedback and usage data continuously. This is where the role of a Data Scientist comes in, an expert capable of sifting through large volumes of data to unearth actionable insights. You’ll need to be a skilled statistician, well-versed in query languages, NoSQL databases, data visualization tools, and data science toolkits. Data Scientists make well above the national average salary in Orlando, typically landing somewhere between $108,286 and $116,766.

DevOps Engineer

DevOps Engineers enable organizations to automate processes and procedures, allowing them to quickly and easily deploy new features and applications. As FinTech has become more complex and interconnected, DevOps Engineers help manage multiple technology stacks and platforms in a secure and scalable manner. The average salary for a DevOps Engineer in Orlando is between $97,880 and $126,717.

FinTech Bootcamp Classes Near Me

Data Analytics and Visualization Boot Camp

The University of Central Florida offers this immersive virtual training dives into in-demand technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more. You’ll cover topics like intermediate Excel functions, fundamental statistics, Python programming, databases, front end web visualization, business intelligence software, and advanced topics like artificial intelligence. Through a combination of collaboration with your classmates and independent work, you’ll use your new skills to build a comprehensive portfolio of projects that showcase your ability to tackle real-world data issues.

FinTech Bootcamp

This Noble Desktop course provides valuable programming and data analysis skills to prepare you for entry-level Financial Analyst or Data Scientist careers. You’ll begin with Python fundamentals, data types, and structures, and work with SQL to query databases. You’ll also use Python to create dashboards and visualizations, build statistical models using machine learning, and apply Python in financial analysis, focusing on portfolio management and financial ratios. You’ll work on real-world projects guided by expert instructors, receive personalized feedback, refine your coding and analytical skills, and build a portfolio that demonstrates your FinTech proficiency. This hands-on experience will equip you with the confidence to tackle challenges in the industry.

Python for Finance Bootcamp

In this advanced Noble Desktop course, you will cover the major Python financial libraries to gather and manipulate financial data. You’ll work with financial APIs to fetch financial, company, and economic data and analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will also build risk management models using Python libraries to create VAR models and Monte Carlo simulation and learn how to apply statistical measures such as linear regression. 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.

Data Science Certificate

Offered by Noble Desktop, this in-depth course can take anywhere from four to 20 weeks to complete. You’ll learn all the skills needed to become a professional data scientist, like how to manipulate databases and perform data analysis, master the fundamentals of Python programming, and use its main data science libraries to analyze data. You’ll also try your hand at creating machine learning models, making dashboards and visualizations, and deploying your projects online with Github.

Held live online, this course includes access to 1:1 mentoring, a free retake within one year, and a verified digital certificate upon completion. Small class sizes and live project-based training with industry experts help ensure you gain all the knowledge and experience needed to land your dream data scientist job.

FinTech Corporate Training

If you’re looking to offer in-person or online training to your office or team, Noble Desktop can help. They offer a variety of corporate training programs, including in FinTech. You can order vouchers in bulk at a discount, choose which courses are available to employees, and even let your employees choose their own schedule. Plus, you can choose to have your training hosted at a location of your choosing, live online, or at Noble Dekstop’s Manhattan office.

With a top-notch customizable curriculum and instructors who are experts in their industries, Noble Desktop’s corporate training is designed to cater to your business or organization’s needs. For more information or to schedule a free consultation, you can reach out to Noble Desktop at corporate@nobledesktop.com.

About the Author

Kelsey Kissner is a writer with over a decade of experience in publishing and marketing. She has a MA in creative writing, BA in English, and works as a digital marketing writer. She has written articles on data science, programming, finance, and various other subjects.

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Top Certificate Programs

Top Courses

Top Certificate Programs

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Courses

Top Orlando FinTech Bootcamps

FinTech Bootcamp Learn The Skills Guarantee™

Key Insights

FinTech Topics

Python Data Science

Machine Learning

Financial Modeling

SQL

Orlando FinTech Bootcamps by School

Noble Desktop’s Top Live Online FinTech Bootcamps

General Assembly’s Top Orlando FinTech Bootcamps

Data Science Bootcamp

Practical Programming’s Top Live Online FinTech Bootcamps

FinTech Bootcamp

Python for Data Science Immersive

Orlando FinTech Corporate & Onsite Training Noble Desktop

FinTech Training Locations in or Near Orlando

Learn FinTech for a New Career

Financial Analyst

Data Scientist

Software Engineer

Python Developer

Learn More About Orlando FinTech Bootcamps

What is FinTech?

What Can You Do with FinTech Bootcamp Training?

What Will I Learn in a FinTech Bootcamp Class?

Financial Analysis

Programming

Data Science

Data Visualization

Machine Learning

How Hard is it to Learn FinTech?

What are the most challenging parts of learning FinTech Bootcamp?

How Long Does it Take to Learn FinTech?

Should I Learn FinTech In Person or Online?

Can I Learn FinTech Free Online?

What Should I Learn Alongside FinTech?

Industries that Use FinTech

Advanced Manufacturing

Aerospace and Defense

Digital Media

Life Sciences and Healthcare

FinTech Job Titles and Salaries

Blockchain Developer

Quantitative Analyst

Data Scientist

DevOps Engineer

FinTech Bootcamp Classes Near Me

Data Analytics and Visualization Boot Camp

FinTech Corporate Training

About the Author

Related Bootcamps

Orlando FinTech
Corporate & Onsite Training