FinTech Bootcamp
Available in NYC or Live Online

Courses in this Certificate Program

This is the recommended order, but some courses may be taken in a different order.

• Unit 1
  30 Hours

  Python for Data Science Bootcamp

  Learn the fundamentals of Python and object-oriented programming in this 5-day intensive course.  You'll gain a solid understanding of Python, with a strong emphasis on using libraries and frameworks for data science.

• Unit 2
  30 Hours

  Python Machine Learning Bootcamp

  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.

• Unit 3
  18 Hours

  SQL Bootcamp (PostgreSQL)

  This course will teach you how to explore, modify, and export data from a database. You’ll be introduced to foundational concepts like tables, data types, and queries. Once you understand the basics of viewing tables, you’ll be introduced to more advanced querying techniques like filtering and aggregating. You will be able to drill down into specific cases or step back and see larger patterns.

  You’ll also learn how to combine information from different tables using join statements and views. The final day of the course will cover advanced techniques like creating subqueries and stored procedures.

  This course will use Postgres, an advanced open-source database. Concepts from this course will apply equally to other databases such as MySQL and SQL Server, with the minor syntax differences noted during class.

• Unit 4
  6 Hours

  Python for Automation

  This class will teach students how to scrap and mine the web for any type of data. Whether you are in academics, business, journalism or anything in between  - this class will be extremely beneficial. Students will learn two major skills in this course: Python and Webscraping. Students will first be introduced to the most powerful programming language in the world and later learn one of its many libraries. If you are interested in pursuing this skill further, check out our Python for Data Science Bootcamp.  

• Unit 5
  18 Hours

  Python for Finance Bootcamp

  In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You will start by working with financial APIs to fetch financial, company, and economic data. We will analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will build a risk management models using Python libraries to create VAR models and Monte Carlo simulation. We will learn how to apply statistical measures such as linear regression to financial uses such as stock prices.