171.3 MB | 00:01:40 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
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)
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)
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