Advanced SQL for Data Scientists

Advanced SQL for Data Scientists focuses on equipping participants with the sophisticated skills necessary to manipulate and analyze large datasets effectively using SQL. The course emphasizes hands-on, project-based learning, allowing participants to engage with real-world data challenges while developing advanced querying techniques. Participants will work on a variety of projects that simulate industry scenarios, providing a practical context for the application of SQL in data science.
Throughout the course, learners will explore complex SQL functionalities, including window functions, subqueries, and performance tuning. The curriculum is structured to enhance problem-solving abilities and analytical thinking, essential for data-driven decision-making in professional environments. By the end of the program, participants will be expected to complete a final project that showcases their ability to apply advanced SQL concepts to extract insights from data, which can be published in Cademix Magazine.
Advanced data retrieval techniques
SQL window functions and their applications
Performance tuning and optimization strategies
Using subqueries for complex data analysis
Data aggregation and grouping strategies
Joins: inner, outer, cross, and self-joins
Working with temporary and permanent tables
Transaction management and concurrency control
Data cleaning and transformation techniques
Final project: Analyzing a large dataset using advanced SQL techniques

To develop advanced SQL skills for effective data manipulation and analysis in data science.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of SQL and familiarity with database concepts.