Python & SQL for Scientific Computing
Completed by DHARANIDHARAN S on September 7, 2025
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Badge ID: 1xTmRCQoR3SU5kQkKKd0VQ
About this Badge
This course is designed to equip students, researchers, and professionals with the computational skills necessary to analyze, manage, and interpret scientific data effectively. It integrates two powerful tools—Python, the leading programming language for data analysis and scientific computing, and SQL, the industry-standard for relational database management.
Learning objectives
- Execute SQL commands to retrieve, manipulate, and define data within relational databases using SELECT, INSERT, UPDATE, DELETE, and DDL/DML statements.
- Construct and optimize complex SQL queries involving JOINs, sub-queries, and database functions to analyze and report data effectively.
- Develop Python programs using fundamental programming concepts to automate tasks and solve problems.
- Integrate SQL with Python in Jupyter notebooks to perform data analysis and manage databases in cloud environments.
Skills learned
- Relational Databases
- Query Languages
- Stored Procedure
- Transaction Processing
- Programming Principles
- Python Programming
- Database Application
- Database Administration
- Software Installation
- Data Manipulation
- Jupyter
- Database Systems
- Computer Programming
- Database Design
- Data Science
- Development Environment
- Data Access
- Data Modeling
- Databases
- SQL
- Database Management
- Data Analysis
- Pandas (Python Package)
- Skills section collapsed. Showing 9 of 23 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.