- Data Analysis
- Transaction Processing
- Python Programming
- Data Manipulation
- Relational Databases
- Jupyter
- Databases
- Query Languages
- Pandas (Python Package)
- SQL
- Stored Procedure
Databases and SQL for Data Science with Python
Completed by TANAY NILESHKUMAR NAGARSHETH
November 4, 2018
18 hours (approximately)
TANAY NILESHKUMAR NAGARSHETH'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
