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