Course details
In this course, you will learn how relationships between people, artifacts, and ideas within learning settings can be analyzed and interpreted through social network analysis (SNA). You will learn how to prepare data and map these relationships to help you understand how people communicate and exchange information. The course will review foundational concepts and applications of social network analysis in learning analytics. You will also learn how to use igraph and statnet R packages to manipulate, analyze, and visualize network data. Updated on 17 September, 2019Data Science Related Questions
- JavaScript Full stack web developer virtual internship Virtual Bootcamp + Internship at LaimoonAED 1,449Duration: Upto 30 Hours
- Data Engineering Level 3 Advanced Diploma Course LineAED 49Duration: Upto 13 Hours
- AED 55Duration: Upto 11 Hours