- 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 PETER INOK UGBASHI
April 17, 2023
18 hours (approximately)
PETER INOK UGBASHI'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
