1 Become the Ultimate Financial Analyst Using SQL (9.33 MB) 2 What you should know (12.12 MB) 3 Using CoderPad (3.47 MB) 1 Background and use cases of SQL (8.11 MB) 2 Types of SQL commands (4.28 MB) 3 SQL data types (4.93 MB) 4 Queries- The basic building blocks of SQL (6.16 MB) 5 How to use functions to perform calculations (6.6 MB) 6 Joins using table relationships (9.44 MB) 7 Setting up sample data and files (8.15 MB) 8 Solution- Creating your first query (2.04 MB) 1 SQL in the finance field (14.1 MB) 2 How data is used in finance (5.07 MB) 3 Data in fintech vs finance (5.04 MB) 4 Excel vs SQL in finance (4.56 MB) 5 Solution- Creating your second SQL query (3.19 MB) 1 What is financial analysis (6.91 MB) 2 Analyzing financial statements (5.39 MB) 3 Analyzing tabular data (8.37 MB) 4 Calculating financial metrics- WACC NPV IRR (6.19 MB) 5 Solution- Creating basic reports using SQL (3.78 MB) 1 What is predictive modeling (4.97 MB) 2 How predictive modeling is used in finance (5.77 MB) 3 Forecasting revenue trends (9.67 MB) 4 Developing predictive models using SQL and Python R (7.97 MB) 5 Case study- Detecting fraud (6.69 MB) 1 Next steps (6.76 MB) Ex Files SQL Finance Professionals (98.86 KB)
