- Pandas (Python Package)
- Stored Procedure
- Jupyter
- Data Manipulation
- Python Programming
- Transaction Processing
- Databases
- Query Languages
- Data Analysis
- Relational Databases
- SQL
Databases and SQL for Data Science with Python
Completed by Dmitrijs Paklons
April 1, 2020
18 hours (approximately)
Dmitrijs Paklons'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
