- SQL
- Pandas (Python Package)
- Query Languages
- Transaction Processing
- Jupyter
- Stored Procedure
- Data Manipulation
- Relational Databases
- Databases
- Data Analysis
- Python Programming
Databases and SQL for Data Science with Python
Completed by YEUNG YU TSE
August 29, 2023
18 hours (approximately)
YEUNG YU TSE's account is verified. Coursera certifies their successful completion of Databases and SQL for Data Science with Python
What you will learn
Analyze data within a database using SQL and Python.
Create a relational database and work with multiple tables using DDL commands.
Construct basic to intermediate level SQL queries using DML commands.
Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.
Skills you will gain
