- Jupyter
- SQL
- Transaction Processing
- Query Languages
- Pandas (Python Package)
- Data Manipulation
- Databases
- Python Programming
- Stored Procedure
- Relational Databases
- Data Analysis
Databases and SQL for Data Science with Python
Completed by Betül Eren Keskin
December 22, 2019
18 hours (approximately)
Betül Eren Keskin'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
