Onsite FinTech Training

Learn Python financial libraries, gather/manipulate financial data, fetch APIs for company and economic data, analyze SEC financial statements, build risk models, and apply linear regression for stock price predictions. Ideal for finance professionals.

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

Get the skills you need for a career in finance technology with the FinTech Bootcamp. Learn Python programming, data science, financial analysis, data visualization, and machine learning to become a Financial Analyst, Data Scientist, or Data Analyst.

Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.

Learn how to extract information from databases and turn it into actionable insights by writing SQL queries, filtering data, and joining tables. This comprehensive SQL Server Bootcamp will teach you the fundamentals of SQL and how to apply them to various database systems.

Learn how to build automated trading strategies using Python, connect with a brokerage, place and query stock orders, and apply machine learning to value options in this comprehensive course on trading stocks. Perfect for traders looking to automate investments and learn algorithmic trading.

Learn advanced Python and statistics topics and apply these concepts to build a predictive returns model using real-world financial data. In this course, you'll gain experience in financial statement analysis, data pulling, and making data-driven decisions with Python.

Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.