- Data Analysis
- Transaction Processing
- Pandas (Python Package)
- Jupyter
- Data Manipulation
- SQL
- Query Languages
- Databases
- Python Programming
- Relational Databases
- Stored Procedure
Databases and SQL for Data Science with Python
Completed by Ana Raquel Azevedo e Costa
July 17, 2020
18 hours (approximately)
Ana Raquel Azevedo e Costa'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
