- Relational Databases
- Data Manipulation
- Transaction Processing
- Jupyter
- Data Analysis
- Databases
- SQL
- Stored Procedure
- Python Programming
- Pandas (Python Package)
- Query Languages
Databases and SQL for Data Science with Python
Completed by Chris-Sean Cavallier
May 8, 2024
18 hours (approximately)
Chris-Sean Cavallier'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
