FinTech Classes Los Angeles, CA

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 forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their 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 DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

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, such as 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 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 prerequisites from a clean Microsoft Windows image, ensuring the course is 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.

Analyze data and use it to solve real-world problems with this 10-week Python course. This platform enables users to transform complex data into easy-to-understand formats. Primarily using Pandas, a key data analysis platform, students learn to prepare, cleanse, format, convert, and present data. Using statistical models and basic data visualization techniques greatly assists in this process. Course prerequisites include a beginner Python programming course or equivalent experience.

This financial modeling course teaches commonly used valuation and modeling techniques. Students will learn fundamental Excel and finance skills needed for financial modeling, build a DCF model, create an M&A model, and make an LBO model.

In this advanced modeling course, students will focus on M&A and LBO analyses. Students will learn key accounting and finance concepts for each type of analysis as they build towards a full project analysis. This course features a mix of instructor-led teaching and project work building both an M&A model and an LBO model.

In this beginner Excel class, students will learn the fundamental skills of Excel with hands-on work. This course starts with the basics of Excel setup and best practices. After that, students will learn to work with text functions, analyze data, perform scenario analyses, and start working with macros.