- Query Languages
- Jupyter
- Python Programming
- Transaction Processing
- Data Analysis
- Pandas (Python Package)
- Databases
- Data Manipulation
- Stored Procedure
- SQL
- Relational Databases
Databases and SQL for Data Science with Python
Completed by Kenneth Abcede
March 24, 2024
18 hours (approximately)
Kenneth Abcede'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
