FinTech Classes Live Online

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 course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

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.

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

In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques like scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options plus a free retake for students to refresh the material.

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.

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.

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.

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.

Join the Financial Analyst Training Program, offering hands-on instruction from experts in NYC or live online, where you'll master Excel, delve into corporate finance, and construct a valuation model for a public company. Gain basic to intermediate Excel skills, review corporate finance and financial accounting concepts, and create comprehensive valuation models in an interactive setting, receiving personalized attention in small group classes.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those concentrated in AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal, specialized career path in the industry.

This comprehensive Python course teaches beginners how to code, analyze data, and create machine learning models with Python. Students will start with the basics of programming in Python and build up their data skills on their way to learning machine learning and automation. Topics include programming fundamentals, data analysis, data visualization, machine learning, automation, and web scraping. This course offers flexible scheduling options and provides a free retake so students can refresh the material.

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.

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.

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 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.

The University of New Mexico Continuing Education AI & Machine Learning Bootcamp, powered by Fullstack Academy, offers a comprehensive 26-week part-time program designed to accommodate working professionals seeking to advance their skills in AI and machine learning. This active learning approach combines lectures, labs, and projects, allowing students to acquire hands-on experience and practical knowledge applicable both remotely and in New Mexico's growing tech industry.