Advanced SQL & Databases: Data Modeling, Analytical Functions, and Seamless Integration with Python for Data Science.
Sub Category
- Other IT & Software
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Objectives
- Design and implement robust relational databases following normalization principles (1NF, 2NF, 3NF).
- Write complex, multi-layered SQL queries utilizing advanced JOINs, subqueries, and set operations.
- Master Common Table Expressions (CTEs) to simplify recursive queries and improve query readability and performance.
- Apply all major types of Window Functions (ranking, aggregate, value) for advanced analytical reporting.
- Perform sophisticated time-series analysis, cohort segmentation, and funnel analysis using date functions and grouping.
- Optimize query performance by understanding and leveraging indexing, execution plans, and views.
- Establish seamless connectivity between SQL databases (PostgreSQL/MySQL) and Python using relevant libraries (e.g., Pandas, SQLAlchemy).
Pre Requisites
- No prior SQL experience is required, but a willingness to learn technical concepts is key.
- Access to a computer capable of running PostgreSQL/MySQL (free software provided).
- Basic familiarity with programming concepts (like Python or R) is helpful but not strictly mandatory.
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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