- Relational Databases
- Data Manipulation
- Python Programming
- Data Analysis
- Jupyter
- Query Languages
- Pandas (Python Package)
- Stored Procedure
- Databases
- SQL
- Transaction Processing
Databases and SQL for Data Science with Python
Completed by Subhankar Chakraborty
June 7, 2020
18 hours (approximately)
Subhankar Chakraborty'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
