Network Analysis in R

The programming language used in this track is R. R is a popular programming language for data science and analytics and is widely applicable across disciplines such as education and health.

This track will be beneficial for anyone who works with network analysis. It can provide a valuable skillset for people in a variety of fields, such as market research, data analytics, social media analysis, and transportation.

This track will equip you with the skills and knowledge necessary to work with network analysis. Through the courses and exercises, you will gain a better understanding of and proficiency in network analysis and R programming.

This track should take around 12 hours to complete, as it consists of several courses with many different exercises.

A skill track focuses on teaching users the fundamentals of a particular subject, such as network analysis. A career track prepares users with industry-specific knowledge that they need to pursue a career in a particular field, such as data analytics or market research.

This track will cover topics related to network analysis. This includes the fundamentals of network analysis, case studies, and predictive analytics using network data in R.

The datasets used in the track are generally created from real-world examples, and they are provided to the user. These datasets will be used to teach students how to work with network analysis data and build their knowledge of R programming.