Network Analysis in R

Starting at USD 39.00
4 hours duration

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Gain a comprehensive understanding of network analysis with our course, Introduction to Networks. This course will provide you with a solid foundation in the fundamental concepts of network analysis. Starting with an overview of social networks, vertices, and edges, you will learn how to effectively explore and visualize network data using the igraph R package. As you progress through the course, you will delve deeper into the analysis of directed networks. You will learn how to identify key relationships between vertices and apply your newfound skills to analyze a network data set focused on measles transmission in Hagelloch. In addition to understanding network structures and graphs, you will also learn how to characterize network substructures by examining network density and average path length. The course will guide you through the concepts of randomization and random graphs, as well as triangles, transitivity, and visualizing cliques. Furthermore, you will discover how to identify relationships using assortativity in igraph. Assortativity allows you to determine the likelihood of two vertices being connected if they share a common attribute, whether it be numerical or categorical. By utilizing the ASSORTATIVITY function within igraph, you will explore the impact of gender on a friendship network dataset and validate your findings through randomizations. To enhance your network visualization skills, the course will introduce you to threejs, a powerful R package. You will learn how to create interactive network plots using threejs, expanding your visualization capabilities beyond igraph. Additionally, you will explore advanced techniques to further develop your visualizations. By the end of this course, you will have gained a comprehensive understanding of network analysis, enabling you to effectively explore, analyze, and visualize network data using the igraph R package and threejs.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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