Find & compare hands-on FinTech bootcamps available live online (virtual/remote training). We’ve chosen 22 of the best FinTech bootcamps from the top training providers to help you find the perfect fit.
Here are some of the top Live Online schools offering FinTech training, including Noble Desktop (5 courses), Practical Programming (5 courses), and Constructor Learning (2 courses).
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.
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.
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.
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.
In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour 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.
This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.
This Python for Finance Immersive course gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Throughout the 30-hour program, the students will work with NumPy, Pandas, Matplotlib and other scientific libraries as they learn how to pull and process data. Students will graduate with hands-on experience working with Jupyter Notebook, having completed small projects using Python to analyze data. This program is open to beginners, with no requirement for experience in advanced mathematics or coding.
Blockchain, digital currencies, and smart contract platforms are covered extensively in this course. Students learn how to interact with blockchains manually, basic cryptography, such as hash functions and discrete logarithms, and learn about keys, wallets, addresses, and transactions. Also addressed is ensuring secure transactions, mining work, Ethereum, Solidity, and interaction with smart contracts.
In this course, students learn how to convert business problems into machine learning problems, define requirements for a ML problem, including KPIs, using an ML canvas, and create different ML pipelines. Students also learn about data transformation, feature engineering, hyper-parameter tuning, loss functions, and cross-validations on regression and classification tasks. Additionally, students design and solve several ML cases regarding predictive maintenance, churn prediction, and customer segmentation.
NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.
Sabio offers full-time and part-time coding bootcamps in Los Angeles and Orange County. Sabio provides students with a variety of courses in front-end/back-end development, database development, source control, and other computer science programs. At Sabio, students will take part in project-based learning curriculums and be exposed to the full software development life cycle.
This introduction to Blockchain covers the Ethereum blockchain, smart contract development, DAPP development, and how to create private blockchains. You'll also set up the development environment and all pre-requirements from a clean Microsoft Windows image, making the course easy to follow. This 4-week program prepares you to create your own blockchain contracts and distributed applications with a functional development environment that makes you productive for years to come.
Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
This 3-day SQL Bootcamp consists of three courses (Levels 1-3) and helps students with little to no prior SQL experience go from novice to pro in a couple of days. The first course, SQL Level 1, covers the basics, including an introduction to SQL and relational databases, the graphical user interface (GUI), and some of the coding basics. The second course, SQL Level 2, introduces students to SQL queries and subqueries, using JOINS, math and logic functions, as well as variables and user functions. The third and final course, SQL Level 3, walks students through importing and exporting data, building control structures, temporary tables, and stored procedures. Each course concludes with student labs to help cement the skills students learn in each course.
NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and complex linear regressions, classification methods for logistic regression, discriminant analysis, and naïve Bayes, support vector machines and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions.
WeCloudData is a Canada-based school that offers bootcamp courses, short-duration courses, and portfolio courses. Some of the subjects covered include data science, data analytics, business analytics, and machine learning.
The AI Engineering Bootcamp is targeted at individuals who want to advance their machine learning and artificial intelligence skills. The first-semester curriculum covers deep learning, including its theory, frameworks, and NLP, and the second-semester curriculum teaches use cases, model packaging, deploying, and CI/CD, among other topics.
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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.
You have several options when it comes to learning FinTech, so we’ve chosen 22 of the best Live Online bootcamps from the top 12 training providers to help you make your decision. But even so, with the variety of considerations including cost, duration, course format, starting level, and more, choosing the perfect bootcamp still isn’t that easy.
Here are the key questions you should ask yourself before enrolling in a FinTech bootcamp. We hope you’ll find the best option based on your learning preferences and goals.
Enrolling in the right skill level is pivotal. Skipping over prerequisites can leave you confused, while choosing a course too easy will waste your time and tuition dollars.
If you’re new to FinTech, there’s no need to fear. We’ve found 17 beginner courses, with costs ranging from $373 to $4,999. The top options open to beginners include:
Note that beginner courses still typically assume basic proficiency with computers.
Already comfortable with the basics of FinTech and feel ready to move to an intermediate or advanced class? Consider the following courses which all require some prerequisite knowledge:
Live Online training is synchronous training where participants and the instructor attend remotely. Participants learn and interact with the instructor in real-time and can ask questions and receive feedback throughout the course. Instructors can remote into students’ computers (with prior permission) to assist with class exercises and any technical issues. The courses are hands-on and interactive like in-person training.
You can attend the course from your own home or office. This option works best for those without easy access to a nearby facility, and it has become increasingly popular during COVID-19.
If you attend a virtual training from your home or office, you’ll need a computer with strong internet access and any relevant software installed prior to the course. Most schools provide setup instructions before the course, and some will provide direct assistance.
The instruction takes place via a teleconferencing software like Zoom, Webex, or GoToMeeting, and some schools have their own learning portals.
It’s crucial to find a course that fits your schedule. For live online FinTech training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.
Also note, one course we’ve found requires a full-time commitment. This course is a “career-changer” course that may span over several months and probably requires 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. Courses like these typically require a large financial commitment, although many provide payment plans and financing options.
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
With FinTech encompassing so many verticals and subtopics, it could be challenging to find what you’re looking for. We’ll help you break down the subcategories and related topics (see the FinTech topics section) to focus directly on one of the subcategories.
When learning FinTech, you can attend a course or program that dives comprehensively into FinTech or focuses on a particular topic, including Python Data Science, Python for Finance, or Machine Learning.
If you’re committed to learning FinTech comprehensively, we’ve found a couple courses that can help you achieve that goal.
Within FinTech, you can focus your learning on a specific topic, including Python Data Science, Python for Finance, Machine Learning, Python Machine Learning, and Financial Modeling. Each one of these topics will directly enhance, supplement, or support your learning in FinTech. To see how each topic relates to FinTech and to focus your learning on any subcategory, see the subtopics section above.
For a quick overview, here are some popular classes:
When learning FinTech, there are a variety of learning goals you can achieve, including learning FinTech comprehensively, getting started, adding to existing skills, or embarking on a new career path.
To find the perfect fit for you, it’s important to determine what your training goals are. Here is a breakdown of the variety of courses and learners.
For those who are committed to comprehensively understand FinTech and ready to spend 18 hours to 114 hours to master FinTech, these classes will help achieve that goal. With prices ranging from $975 to $4,995, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.
If you know you need to get started in FinTech but you’re not quite committed to learning it comprehensively, these courses will get you started with hands-on skills you can use right away. Many schools offer the ability to continue learning with intermediate-to-advanced courses, and some offer package discounts. All these courses are open to beginners.
For those with some familiarity with FinTech looking to advance or add to their skills, these courses provide those with experience the perfect opportunity to skill-up. All these courses require prerequisite knowledge, and we’ve included a brief note for many of them, but you should check with the school for more details on the entry requirements.
You’re not only committed to learning FinTech comprehensively, but you’re hoping and ready to break into a new career. While securing a new career is not guaranteed, these courses provide in-depth training in FinTech. Many offer job support and some offer a money-back guarantee. Job support typically includes resume writing, help with job applications, portfolio building, and career counseling, but the services vary by provider.
Applications are typically required and many also require remote prework to build essential concepts before the more intensive “live” training. And due to the steep prices (some courses as high as $12,995) many programs provide financing options. See financing notes below but always be sure to confirm with the school and read the terms and conditions. Not all applicants are admitted and approved for financing.
Here are several “career-changer” programs. All the programs include career services (see the provider’s website for details on what is included).
FinTech is an in-demand skill that is essential for a variety of career paths. Here are some popular positions listing FinTech as a skill and the average national salaries according to Indeed as of August 2020.
See the careers section for more information about the top related careers and salaries, and visit the career pages for detail on skill requirements, day-to-day work, compensation, tips, and more.
Some benefits of live online FinTech training include:
While there are several benefits to live online training, there are a few important things to consider. You should make sure you have a quiet workplace with strong internet access. Additionally, you should have the necessary applications installed prior to class and your computer should meet any system requirements. To ensure a seamless learning experience, some schools provide remote setup support and Zoom tutorials upon request prior to the course.
Pricing for FinTech training varies by school, duration, method of delivery, and several other factors.
For live online training, prices range from $12/hour to $100/hr.
See the FinTech pricing analysis section to compare course fees.
For FinTech corporate and on-site training, contact us at (212) 226-4149 or email@example.com to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.
See the tuition comparison below to compare FinTech bootcamps by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at firstname.lastname@example.org for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
FinTech, or Financial Technology, describes new technologies used to improve, analyze, or automate financial services. Examples of FinTech include banking and stock applications, invoicing software, and bitcoin. FinTech allows us to perform immediate actions that would have taken hours, or even weeks, in the past. The financial services industry has become competitive, and the industry and experts predict that the FinTech industry could replace 50% of bank jobs in the next thirty years.
Those starting out in finance benefit from taking a FinTech bootcamp, as learning FinTech can help you understand financial markets and analyze patterns and trends, and give you an advantage over other financial professionals. FinTech, however, is a very broad term, so be sure to choose a course that will meet your career goals. FinTech-related bootcamps such as Python for Data Science, Algorithmic Trading with Python, or Machine Learning and Automation for Finance might also be a good fit.
FinTech is one of the skills that are valued by financial professionals, though it is certainly not the only one. Before choosing bootcamp, it is important to know the career path you intend to pursue as not every FinTech job will require you to have the same level of FinTech knowledge.
That being said, those who know how to blend technology and finance can have many career opportunities.
Those who complete FinTech bootcamps go on to secure jobs as financial analysts, financial engineers, product engineers, and data scientists. Financial analysts require knowledge of financial markets, investment options, and financial models. business recommendations. Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. FinTech is important to them as they use algorithms and to mine data.
Live online FinTech bootcamps are a great alternative to in-person bootcamps as they have virtually all the same benefits: they are live, interactive, and hands-on like in-person training, but the bootcamp can be taken from anywhere that has a reliable internet connection. In live online bootcamps, students ask questions in real-time and get them answered right away. Also, with permission, the instructor can access their screen in order to monitor progress or help with any questions.
Noble Desktop, the creator of this tool, offers several FinTech-related bootcamps, including FinTech Bootcamp, a 102-hour course that covers Python programming applications for FinTech, as well as machine learning, algorithmic trading, and statistical concepts needed for a successful career in FinTech. Students learn how to build automated trading strategies using exponential moving average (EMA), Moving Average Convergence Divergence (MACD), and backtesting.
Practical Programming offers a 30-hour Python for Finance Immersive course that gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Participants work with NumPy, Pandas, and Matplotlib. They also work with Jupyter Notebook. No prior experience in advanced mathematics or coding necessary.
When choosing a live online FinTech bootcamp, you’ll want to consider how you intend to use it in your career. Choosing a course that meets your career goals might mean starting with Python or other related programming languages before moving on to more advanced FinTech courses. NYIM Training Centers offers a 21-hour Financial Modeling Bootcamp that will help aspiring financial analysts learn advanced Excel, financial modeling, corporate finance, and even some accounting skills in order to succeed as an analyst.
Noble offers a 30-hour Python for Finance Bootcamp course taught by experienced professionals. This bootcamp covers the basics of working with Python and using Python for data science. Students will also learn about Python libraries like NumPy, Pandas, and Matplotlib. Additionally, Noble offers a 30-hour Python for Data Science Bootcamp that covers many introductory programming concepts like loops, functions, and objects as well as many common advanced data science concepts.
NYIM Training also offers a 3-day beginner SQL Bootcamp that teaches participants to write queries, manipulate tables, and store advanced code. The syllabus covers relational databases and SQL fundamentals, composing queries, creating SQL databases, and automating workflow with stored procedures.
For those who are not quite ready to commit to an entire bootcamp but want to start learning about FinTech or its related topics, a live online FinTech class is an excellent choice. For example, Advanced Excel for Financial Modeling is a 1-day course provided by NYC Career Centers, which focuses mainly on how to use Excel to build and audit complex financial models
LANTEC of Louisiana offers a 5-day SQL course called Corporate Training Center Querying In Microsoft SQL Server. It is designed for those who are new to databases. The course covers SQL servers, executing a query, adding a condition to a query, using functions to make calculations, organizing data, and retrieving data from multiple tables.
Noble Desktop offers an 18-hour Machine Learning & Automation for Finance course that covers advanced Python and statistical topics, financial statements and ratios, how to pull data from these statements and compute ratios using Python, and how to visualize findings as a PDF report, Excel file, or SQL database. This course is a good fit for those working in finance, risk management, reporting, general financial management, and financial investments. Participants must already be comfortable with Python as well as NumPy and Pandas.
For stock traders who want to boost their strategy with automation, Noble also offers a 12-hour Algorithmic Trading with Python course. Students learn how to connect their Python scripts with an online trading brokerage. The curriculum also includes trading strategies such as exponential moving average (EMA), Moving Average Convergence Divergence (MACD), and backtesting strategies. This course is perfect for anyone interested in learning how to invest using algorithms.
There are several factors to consider when choosing a FinTech bootcamp. Cost and duration are major factors, but those interested in learning more about FinTech have to know their area of focus before choosing a course. FinTech bootcamps are perfect for those who are ready to learn Python programming applications for FinTech, as well as machine learning, algorithmic trading, and statistical concepts. However, there are other related bootcamps, such as bootcamps that teach Python for finance or data science, that might be better suited for some jobs. One of the advantages of taking a bootcamp is the job support that is often included in the program. Many bootcamps provide career services whether it be one-on-one mentoring, job search guidance, or simulated work experiences such as working on projects in teams.
Generally, bootcamps are hands-on learning experiences in which students acquire a solid base in a short period of time. Courses for FinTech take anywhere from 3 hours to 72 weeks, depending on how extensive they are. Many of the bootcamps offer payment plans, monthly payment plans, and income share agreement payment options, which means students don’t pay until they’ve secured a job. Students can also look for scholarships and employer reimbursements. All Noble bootcamps, for example, include a free retake and a guarantee that you’ll learn the skills covered in the syllabus, subject to terms and conditions.
If you’re interested in FinTech, you might also be interested in these bootcamps:
For registration assistance and a list of partners and affiliate schools, see the Partners Page. Neither Classes Near Me (“CNM”) nor Noble Desktop is affiliated with any schools other than those listed on the Partners Page. The information provided on CNM for all schools is intended to provide information so that you may compare schools and determine which best suits your needs. The information provided is not updated regularly, so you should go to the schools website directly to verify their continued offerings. Neither CNM nor Noble Desktop can assist with registration for non-partner schools.