Find & compare hands-on FinTech courses available live online (virtual/remote training). We’ve chosen over 70 of the best FinTech courses 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 (9 courses), Practical Programming (8 courses), and NYIM Training (7 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 comprehensive Financial Modeling bootcamp, participants learn to master the advanced Excel, financial modeling, corporate finance, and accounting skills they need to succeed in various finance-related positions. This complete program covers advanced Excel for financial modeling, a crash course in finance and accounting, and a real-world financial modeling project, with essential topics including sensitivity analysis, financial functions, modeling shortcuts, financial statements, model drivers, and modeling assumptions. Tuition includes hands-on training, a free retake, and a training manual. The course has flexible scheduling options and is available online and in NYC.
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.
In this comprehensive 5-day financial analyst program, participants will master Excel and finance concepts needed to succeed at top financial firms. Participants will learn how to value a company using a DCF model and will build a valuation model on a public company. Topics covered include core Excel skills, advanced Excel for financial modeling, accounting, corporate finance and valuation, and financial modeling. 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.
In this course, participants will learn the fundamentals of relational databases and begin writing SQL queries to extract data from databases. They will receive essential training in the basics of the three core components of SQL: relational DBMS, SQL, and Microsoft SQL Server. They will work through practical hands-on exercises, writing real SQL code and reinforcing their knowledge of database architecture along the way. 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 1-day Microsoft Excel course is designed for individuals with some prior Excel experience but who are looking to build a career in finance and are excited to learn advanced Excel tools for financial analysis. There are a number of advanced topics and techniques covered in this course, including techniques to expedite workflow, advanced analytical tools and sensitivity analysis, database functions for finance, and functions for financial modeling. The course also incorporates three projects to help review and solidify the major topics covered throughout the course.
This 3-day financial modeling bootcamp has been designed for individuals looking to learn the fundamentals of corporate finance and accounting. Day one focuses on advanced Excel techniques for financial modeling and teaching students’ best practices with formula writing, short cuts, tools like Goal Seek and Scenario Manager, and advanced functions, including INDEX-MATCH, CHOOSE, and IFERROR. Day two centers on accounting and corporate finance topics, like Enterprise Value, Financial Statements, Discounted Cash Flow (DCF) models, sensitivity analysis, and leveraged buyouts. The third and final day dives deeper into advanced financial modeling and valuation topics and teaches students about how to perform company analysis, create financial projections, understanding terminal value, corporate valuations, as well as final analysis and reasonability testing.
This intensive five-day financial analyst bootcamp will equip students with the Excel skills and financial business acumen to launch a career as a financial analyst. The first section of this bootcamp centers around Excel fundamentals and introduces students to Excel basics like formulas, formatting, charts, and workbook best practices. The second section of the bootcamp exposes students to more intermediate topics in Excel, like working with text, LOOKUP functions, PivotTables, statistical functions, and combo charts. The third and final section of the bootcamp focuses on financial modeling and introduces students to advanced financial modeling techniques with Excel, covers key concepts in corporate finance and accounting, and explores in depth the best practices around financial modeling and valuation.
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 data science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely-used data analysis and visualization modules, such as Pandas, matplotlib, Numpy, Scipy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.
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.
This course in machine learning with R introduces novice R programmers a foundation in machine learning theory. The course covers the foundations of statistics and simple linear regressions, multiple linear regression and generalized linear models, kNN and Naïve Bayes, the curse of dimensionality, tree models, and SVMs. Students who complete this course will understand the mathematics behind machine learning algorithms and be able to use them in real-world situations.
BrainStation is an intensive training provider focused on teaching digital skills and offering full-time diplomas, part-time certificates, and other forms of expertise in time frames of one to twelve weeks. BrainStation believes there are different styles of learning and therefore adopts flexible learning options like Online Live, where students can learn virtually.
This machine learning course teaches the fundamentals of how to use Python programming for machine learning functions. Students will learn about clustering algorithms, recurrent neural networks, natural language processing, and regression and classification techniques. Completion of this program will give students the ability to understand and even solve real-world machine learning problems.
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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 76 of the best Live Online courses from the top 31 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 course still isn’t that easy.
Here are the key questions you should ask yourself before enrolling in a FinTech course. 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 37 beginner courses, with costs ranging from $298 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, weekend, and evening 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, provides a brief introduction 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, gaining a broad introduction to FinTech, 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 5 days to master FinTech, these classes will help achieve that goal. With prices ranging from $975 to $7,000, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.
Learning FinTech comprehensively can be a large financial and time commitment. If you’re not committed quite yet, or just want to learn about the field or subject, these courses can give you a high-level overview to help inform larger decisions. Note that most of these courses tend to be broader and less hands-on.
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 $8/hour to $223/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 courses 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, is a term commonly used to describe any technology used to improve, analyze, automate, or disrupt traditional financial services. Given how cutthroat and competitive the financial services industry has become, every modern financial service firm is now focused on FinTech to gain an edge on the competition. The wide range of tools available to finance professionals today can help them analyze patterns and trends in seconds that would have taken days or weeks in the past. If you’re an aspiring finance professional, learning FinTech can help you understand financial markets in the blink of an eye, and any technology you can learn to apply within the field of finance can give you a strong advantage over other aspiring professionals.
These days, some understanding of FinTech is expected in a number of financial services roles, but there are many other supplementary skills finance professionals need to know as well. Knowing this, it's important to understand which career path is right for you in order to better understand the level of FinTech knowledge your ideal career path requires as well as information about other helpful tools and skills.
FinTech experts are in high demand and knowing how to blend technology and finance can lead to many fulfilling career opportunities, including Financial Analyst, Financial Engineer, Product Engineer, and Data Scientist. Some careers, like Financial Analyst, also require knowledge of financial markets, investment options, building out financial models, and making well-researched business recommendations. For those jobs, you’ll need to have some subject-specific training and understand how best to provide insights from unstructured and disparate sources of data.
With live online FinTech training, you can learn this skill from anywhere. You’ll interact with instructors in real-time and work on a variety of hands-on projects. The cohort style of live online training also helps students to stay engaged and on track to complete the course. Once you have a firm understanding of a few popular FinTech tools and concepts, you’ll be able to start uncovering interesting financial insights faster and more accurately than you ever could before.
Several schools including Noble Desktop, the provider of this tool, offer live interactive FinTech courses to help you meet your goals. Noble offers a 30-hour Python for Finance Bootcamp course taught by experienced professionals that provides students with a nice introduction to working with Python. This bootcamp will start with the basics of working with Python and progress to using Python for data science, as well as introducing students to common Python libraries like NumPy, Pandas, and Matplotlib.
Noble also offers longer courses and comprehensive certificate programs catering to students with different FinTech interests, including a FinTech Bootcamp, which not only covers Python programming applications for FinTech, but also covers machine learning, algorithmic trading, and many other important statistical concepts needed for a successful career in FinTech. All Noble classes include a free retake and a guarantee that you’ll learn the skills covered in the syllabus, subject to terms and conditions.
Other schools, including Practical Programming, NYIM Training, NYC Career Centers, Sabio, and others offer a variety of courses and bootcamps. Much like Noble Desktop, these schools offer their courses both in-person and online and are taught by industry experts. These other schools also offer short subject-specific courses as well as longer-form bootcamps, to best meet the needs of students.
For example, 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. For individuals looking for a shorter course with an Excel-only focus, they can explore the 1-day Advanced Excel for Financial Modeling course provided by NYC Career Centers, which focuses mainly on how to use Excel to build and audit complex financial models.
Since FinTech is such a broad term, you’ll want to be sure that you choose a course that meets your goals, whether you’re aiming to advance in your career or trying to learn the basics for your first finance position. So when choosing a live online FinTech course, you’ll want to focus on the industry focus, job function, and course duration.
FinTech training can help your business achieve its goals, whether that’s building a new financial app or writing algorithms for stock trading. For businesses looking to train their employees, virtual FinTech training is available. You can send participants to regularly scheduled FinTech group classes held virtually or schedule a private session for your team. Noble can conduct the training for beginner to advanced users, and customize the lesson plan to fit the needs of your team. For more information about corporate training, please email Noble Desktop’s consultants at email@example.com.
If you’re interested in FinTech, you might also be interested in these topics:
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.