SQL for Financial Analysis

What will I learn?

• Master the fundamentals of relational databases and understand their importance in data management.
• Gain proficiency in writing SQL queries to retrieve specific data from databases.
• Create, modify, and manage tables, including defining data types and constraints.
• Explore techniques for filtering, sorting, and aggregating data using SQL.
• Acquire the skills to perform complex data manipulations using subqueries and joins.
• Dive into advanced topics such as window functions to perform complex analytical operations on data.
• Indexing and optimization techniques to improve query performance.
• Working with SQL Server and other relational database management systems (RDBMS).
• Design and implement databases that adhere to best practices.
• Leveraging SQL for data extraction and transformation.
• Understand how SQL fits into the broader landscape of data analysis and data science.
• Gain practical knowledge in troubleshooting common SQL errors and issues.
• Build a strong foundation for further specialization in database administration or data analytics.
• Prepare for real-world challenges by simulating various data-related scenarios.