Class Schedule

NYC Chicago Live Online

Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.

Master the tools to become a data scientist: Python, SQL, automation, machine learning, and data visualization. Learn Python programming fundamentals, analyze and visualize data with Python's powerful libraries, query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

Learn to answer business questions with a database, the ultimate system of record for most organizations. As every industry becomes more data-driven, the value of learning SQL will only grow into the future.

Learn to build and host your own web applications with Node, build APIs with Express, and store, organize, and fetch data with MongoDB.

Learn Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career.

In this short introductory class, students will learn the basics of writing simple Python code to solve everyday problems, as well as some key concepts related to object-oriented programming.

Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.

Learn Python to extract data from websites. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages.

Manipulate and visualize data in this hands-on course, where you'll learn about data stories, dashboard design and Python's most important data visualization libraries.