- Databases
- Relational Databases
- Python Programming
- Query Languages
- Pandas (Python Package)
- Jupyter
- Data Analysis
- Stored Procedure
- Data Manipulation
- Transaction Processing
- SQL
Databases and SQL for Data Science with Python
Completed by Nikita Budiakov
July 30, 2024
18 hours (approximately)
Nikita Budiakov'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
