- Transaction Processing
- Databases
- Jupyter
- Data Analysis
- Pandas (Python Package)
- Data Manipulation
- Query Languages
- Relational Databases
- Stored Procedure
- Python Programming
- SQL
Databases and SQL for Data Science with Python
Completed by Haike PĂĽschel
June 12, 2019
18 hours (approximately)
Haike PĂĽschel'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
