Master querying, joins, and aggregations across Python and SQL—learn window functions, parameterized queries, and more
Sub Category
- Other IT & Software
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Objectives
- Safely connect Python to SQL databases using environment variables and connection URLs
- Write, optimize, and debug SQL queries—from joins and aggregations to advanced CTEs and window functions
- Translate SQL logic into Pandas and vice versa, knowing when each tool is the best fit
- Apply performance techniques like indexing, pushdown, and chunking to handle large datasets
- Protect against SQL injection and write secure, parameterized queries
- Set up Python virtual environments and manage dependencies with confidence
Pre Requisites
- Basic familiarity with Python (variables, functions, packages)
- Some familiarity with SQL and Pandas
- Previous exposure to data analysis concepts will help, but is not essential
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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