- SQL
- Data Manipulation
- Relational Databases
- Transaction Processing
- Stored Procedure
- Query Languages
- Data Analysis
- Pandas (Python Package)
- Databases
- Jupyter
- Python Programming
Databases and SQL for Data Science with Python
Completed by PATRICK DANIEL GILLAM
April 12, 2021
18 hours (approximately)
PATRICK DANIEL GILLAM'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
