Managing Big Data with MySQL
This course is part of Excel to MySQL: Analytic Techniques for Business.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Excel to MySQL: Analytic Techniques for Business Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Write effective SQL queries for data extraction
Understand relational database structure and design
Create and interpret entity-relationship diagrams
Perform complex data analysis using MySQL
Work with real business databases
Develop practical data analysis skills
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
4 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course introduces business analysts to relational databases and SQL. Students learn database design principles, create entity-relationship diagrams, and master SQL queries for business analysis. The course uses real-world databases from Dognition and Dillard's, providing hands-on experience with analyzing millions of data points. Topics include data extraction, table aggregation, and advanced query techniques essential for modern business analysis.
About this Specialization and Course
Module 1 · 1 Hours to complete
Understanding Relational Databases
Module 2 · 4 Hours to complete
Queries to Extract Data from Single Tables
Module 3 · 6 Hours to complete
Queries to Summarize Groups of Data from Multiple Tables
Module 4 · 7 Hours to complete
Queries to Address More Detailed Business Questions
Module 5 · 5 Hours to complete
Strengthen and Test Your Understanding
Module 6 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Excel to MySQL: Analytic Techniques for Business
Instructors
Executive in Residence and Director, Center for Quantitative Modeling
Daniel Egger brings over seventeen years of experience in developing new software products and services as the founder and CEO of several venture-backed information technology companies, as well as serving as Managing Partner in a venture capital fund. He is currently an Executive in Residence in Duke University’s Master of Engineering Management Program and has been teaching courses in entrepreneurship and venture capital at Duke since 2003. Previously, he held the position of Entrepreneur-in-Residence at Duke's Markets and Management Program for undergraduates through the Howard Johnson Foundation.
Neuroscientist and Advocate for Ethical AI Development
Dr. Jana Schaich Borg is an Assistant Research Professor at Duke University, specializing in neuroscience and social cognition. She earned her Ph.D. in Neuroscience from Stanford University and focuses on developing innovative methods to infer network properties from high-dimensional multi-modal neural data. Her research explores critical areas such as social behavior, empathy, and moral decision-making, positioning her as a leading figure in the intersection of neuroscience and artificial intelligence. Dr. Schaich Borg is actively involved in interdisciplinary teams that leverage cutting-edge technologies to tackle complex challenges in understanding human behavior. She advocates for training programs that equip scientists to apply their research to real-world issues and educates entrepreneurs on supporting structures that foster disruptive innovation in biomedical science. Her commitment to ensuring that big data contributes positively to society drives her current projects, which include developing moral artificial intelligences and understanding the role of social synchrony in mental health. Through her work, Dr. Schaich Borg aims to bridge the gap between human values and AI development, ensuring ethical considerations are central to technological advancements.
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