Master SQL fundamentals including data classification systems and query composition techniques.
Why SQL?
Approximately 90% of data science and analysis work involves data preparation, cleaning, and transformation tasks. SQL provides an efficient solution to these challenges through intuitive, English-like query syntax addressing database information retrieval. The disparity between available SQL-skilled professionals and employer demand remains substantial and continually expanding. As industries worldwide transition toward data-driven organizational models, SQL proficiency provides enhanced influence in organizational decision-making across virtually all career fields.
You'll gain familiarity with foundational database concepts including table structures, data type classification, and query mechanics. Following mastery of fundamental viewing and accessing techniques, you'll progress to more sophisticated querying approaches including data filtering and information aggregation. You'll develop the ability to focus on specific cases or zoom outward to identify broader patterns and trends. You'll also master table combination methodologies utilizing join statements and view construction. The program's final module addresses sophisticated techniques including subquery creation and timestamp function utilization for temporal data analysis.
This course utilizes Postgres, an enterprise-grade open-source database management system. The methodologies and concepts covered throughout the program transfer directly to alternative database systems such as MySQL and SQL Server, with only minor syntax adjustments necessary for implementation.
What You'll Learn:
- Explore and modify information utilizing a graphical user interface
- Write queries that search through database tables in a systematic, programmatic manner
- Understand various data classifications and learn techniques for converting between types
- Combine information across multiple tables using join statements and relationships
- Advanced techniques including subqueries and timestamp functions for temporal analysis
Learn more about the SQL Bootcamp at Practical Programming.
