Onsite FinTech Training

Master the major Python financial libraries to gather and manipulate financial data. Use APIs to fetch financial, company, and economic data. Analyze financial statements from the SEC website, including ratios derived from the income statement and balance sheet. Build risk management models and apply linear regression to predict stock prices.

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.

Learn to extract info 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 to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results so you can turn data into actionable insights.

Build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. In this course, you'll learn how to connect their Python scripts with an online trading brokerage, how to place and query stock orders, and basic machine learning as it applies to properly value an option.

Learn advanced Python and statistic topics such as object-orientated programming and regression models. Then apply these concepts by using real-world financial data to build a predictive returns model. You'll get to know the ins and outs of financial statements, practice pulling data from these statements, and compute important financial ratios using Python.

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.