SQL for Data Science and Version Control with GitHub

Master industry-standard SQL and database management in this comprehensive course designed for aspiring data professionals. Through hands-on projects and real-world datasets, you'll progress from basic queries to advanced data manipulation techniques, enhanced by modern AI tools. This course is perfect for beginner/intermediate level data enthusiasts and Excel-savvy professionals ready to advance their data skills. Starting with basic database concepts and progressing through real-world scenarios, you'll develop the practical skills needed for modern data analysis roles, culminating in a capstone project that demonstrates mastery of SQL fundamentals, advanced querying techniques, database optimization, and professional documentation practices. Upon completion, you'll be able to: • Write complex SQL queries using advanced techniques including subqueries, CTEs, and window functions • Design and optimize database schemas for improved performance and data integrity • Clean, transform, and analyze data using professional SQL workflows • Integrate AI tools to enhance query optimization and automation • Build comprehensive data analysis reports using version control best practices with high school students and professionals with an interest in programming

• Write advanced SQL queries using techniques like subqueries and CTEs
• Manage databases with professional documentation practices
• Apply data retrieval and manipulation in real-world scenarios
• Use GitHub for version control in data science projects
• Complete hands-on projects to reinforce data analysis skills

• Basic computer and internet skills
• Ability to read English instructions and complete short exercises