Social network analysis using R
R is regarded as one of the top three data-oriented programming languages. You can perform a dizzying array of statistical data modeling functions with R. In this exciting course, you'll learn how to use R to perform social network analysis, which is one of the most widely used data analysis methods these days for determining how connected individuals, groups, and organizations are.
In transportation, advertising, national security, medicine, geography, politics, social psychology, and many other fields, social network analysis is used to establish and measure connectivity. This course will teach you how to use R to format data for analysis, create graphs, analyze network graphs, and visualize networks if you're involved in analytics in any way.
Despite the fact that the course is designed in an extremely simple but informative manner, it is still expected that you have some basic R experience before taking it. The course also includes sample data sets, coding lists, and R files with codes to assist you in becoming a social network analysis expert. So, let's discover new and exciting ways to examine network relationships and trends, as well as information about how individuals in an organization interact.
Who this course is for:
- Data analysts
- Business analysts
- R enthusiasts
Requirements
- Hands on knowledge on R would be beneficial
Course ratings: 4.0/5
Enroll here: https://www.udemy.com/course/social-network-analysis-using-r/