Lecture 2.2.2: SQL for Healthcare Data Analysis | Masters in Health Data Science скачать в хорошем качестве

Lecture 2.2.2: SQL for Healthcare Data Analysis | Masters in Health Data Science

Instructor: Dr. Ruhma Baig (PT) In this lecture, Dr. Ruhma Baig guides students through the essentials of SQL for health data analysis. The session focuses on using SQL to extract, clean, combine, and summarize health datasets in ways that support evidence based decision making and research. This lecture is designed for public health students, data beginners, and anyone interested in working with real world health data in a structured and meaningful way. What you will learn in this lecture: • Introduction to SQL and health database structures • How to select and extract useful data • Cleaning messy health records using SQL queries • Combining data from multiple tables • Summarizing data for reports and research insights • Practical examples from health data contexts Whether you are preparing for research, improving your data skills, or working on health projects, this lecture will help you build a strong foundation in SQL for analytical tasks. Subscribe for more lectures and tutorials on health data, research skills, and analytics. 📺 Watch our full playlist:    • Master's in Health Data Science   Subscribe to our channel for more Digital Health content! ❤️💬🔔 👍 Social Media: Facebook:   / universaldigitalhealth   Twitter:   / unidigihealth   LinkedIn:   / universal-digital-health   Instagram:   / universaldigitalhealth   TikTok:   / universaldigitalhealth