- Transaction Processing
- Data Analysis
- Stored Procedure
- Query Languages
- Data Manipulation
- Jupyter
- Databases
- Python Programming
- Pandas (Python Package)
- Relational Databases
- SQL
Databases and SQL for Data Science with Python
Completed by HARWANIMANA NIYODUSHIMA JULES CHRISTIAN
May 19, 2020
18 hours (approximately)
HARWANIMANA NIYODUSHIMA JULES CHRISTIAN'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
