Advanced Digital Analytics
Prerequisites: Restricted to MS in Digital Advertising Students.
This is an intense course designed for students who have a foundational understanding of digital data analysis and are looking to deepen their expertise. This course will explore the advanced techniques and tools used in the analysis of digital data, with a strong emphasis on SQL and its applications in digital analytics. The course integrates theoretical knowledge with practical skills, offering hands-on sessions where students will work with real data sets. Students will learn to extract, transform, and analyze data from various digital sources to make informed business decisions. The course culminates in a capstone project where students apply their skills to solve a real-world digital analytics problem.
Outcomes: Demonstrate advanced understanding of digital data sources and structures; Proficiently use SQL for complex data queries and analysis; Apply statistical methods to analyze and interpret digital data; Integrate data from multiple sources for comprehensive analytics; Develop and execute a digital analytics project from conception to completion; Effectively communicate analytical findings to both technical and non-technical audiences.
This is an intense course designed for students who have a foundational understanding of digital data analysis and are looking to deepen their expertise. This course will explore the advanced techniques and tools used in the analysis of digital data, with a strong emphasis on SQL and its applications in digital analytics. The course integrates theoretical knowledge with practical skills, offering hands-on sessions where students will work with real data sets. Students will learn to extract, transform, and analyze data from various digital sources to make informed business decisions. The course culminates in a capstone project where students apply their skills to solve a real-world digital analytics problem.
Outcomes: Demonstrate advanced understanding of digital data sources and structures; Proficiently use SQL for complex data queries and analysis; Apply statistical methods to analyze and interpret digital data; Integrate data from multiple sources for comprehensive analytics; Develop and execute a digital analytics project from conception to completion; Effectively communicate analytical findings to both technical and non-technical audiences.