4 Best Network Analysis Courses & Classes [2020]

Best network analysis course tutorial class certification training online

If you are willing to learn Network Analysis, then our team of global experts has compiled a list of Best Four Network Analysis Courses, Classes, Tutorials, Training, and Certification Programs available online for 2020. This list includes both free and paid courses to help you learn network analysis. Also, it is ideal for beginners, intermediates, as well as experts.

 

4 Best Network Analysis Courses & Classes [2020]

1. Introduction to Network Analysis in Python (DataCamp)

This is a beginner level course that will equip you with all the skills required for analyzing, visualizing, and making sense of networks. You will study how to smear the concepts to real-world network data with the powerful NetworkX library, and how to develop your network thinking skills and be able to look at your data with a fresh perspective. The course is designed by Eric Ma, who works at MIT in solving big biological data problems. During the course, if you face any queries or issues with the course content, then the instructor will help you resolve it. Also, after course completion, you will get a certificate of completion. Check out our compilation of Best Neural Network Courses.

 

Key USPs –

– Get introduced to the fundamental concepts in network analytics while going through a real-world Twitter network dataset

– Know about NetworkX library that allows users to manipulate, analyze, and model graph data while learning about the diverse types of graphs and how to visualize them rationally

– Learn different ways of identifying nodes that are essential in a network, as well as learn the basics of path-finding algorithms

– Get access to multiple assignments, graded quizzes, video lectures, rich-learning content, and much more to improve your learning skills

 

Duration: 4 hours

Rating: 4.4 out of 5

You can Sign up Here

 

Review: DataCamp is the top resource I recommend for learning data science.  – Louis Maiden

 

 

2. Network Analysis in R (DataCamp)

If you want to learn how to visualize and work with network data, and how to use igraph package for creating networks from edgelists and adjacency matrices, then this is the right course for you. Taking this course will help you learn how to plot networks and their attributes, how to identify important vertices with measures like degree and betweenness, and much more. During the course, you will cover a variety of network structures, such as cliques, triangles, etc. The course is covered with multiple video lectures, quizzes, graded assignments, and much more to help you better equipped with the course content.

 

Key USPs –

– Get introduced to the fundamental concepts of social network analysis while learning how to use the igraph R package for exploring and analyzing social network data

– Included with four different chapters, each of which will guide you to different concepts of social networks, such as identifying essential vertices, special relationships, etc.

– Learn how to identify special relationships between vertices with the help of metrics like assortativity, and how to create interactive network plots using threejs

– Explore the partitioning of networks into sub-networks and determine which vertices are highly related to one another than others

 

Duration: 4 hours

Rating: 4.4 out of 5

You can Sign up Here

 

Review: I’ve used other sites, but DataCamp’s been the one that I’ve stuck with. – Devon Edwards Joseph

 

 

3. Network Analysis in the Tidyverse (DataCamp)

If you want to know more about social networks, information networks, and the neural networks of our brains, then this network science course can help you learn a lot of things. In this course, you will acquire a clear demonstration of network analysis with several R packages, including dplyr, igraph, ggplot2, and visNetwork. The course will provide you with additional video lectures, quizzes, assignments, rich learning content, and much more to help you learn the subject more clearly. After finishing the course, you will be able to analyze any network with basic centrality and similarity measures and create beautiful and interactive network visualizations. Have a look at our take on Best Data Science with R Courses.

 

Key USPs –

– Consists of four different chapters, each focused on a certain topic of network analysis, such as the hubs of network, connection patterns, similarity clusters, etc.

– Learn how to visualize a network in different layouts with ggraph package, and how to compute two basic yet important centrality measures in network science – degree and strength

– Learn how to use a centrality measure on ties, called betweenness, and how to visualize the network highlighting connections with high betweenness centrality

– Explore the hierarchical clustering to find groups of similar terrorists building in the notion of similarity of connection patterns

 

Duration: 4 hours

Rating: 4.4 out of 5

You can Sign up Here

 

 

4. Network Analysis Courses (Coursera)

If you are still figuring out the best network analysis course for you, then Coursera is providing a fantastic list of courses for you, all of these courses are designed by some of the top-rated institutions and universities around the world, such as the University of California, the University of Michigan, Stanford University, etc. Moreover, if you are interested in completing a degree in Network Analysis, then Coursera offers various masters’ courses like Master of Business Administration, Master of Science in Accounting, Global Master of Business Administration, etc. After the successful achievement of each course, you will receive a certificate of completion that can be shared with employers, resume, and LinkedIn profile to showcase your abilities.

 

Key USPs –

– An extensive list of courses that will help you learn and understand every concept of Network Analysis, Social networks, network relationships, and much more

– Designed and reviewed by some of the best instructors of top-rated universities around the world, who will assist you during the courses

– Learn about social network analysis, applied social network analysis in Python, social and economic networks, applied data science with Python, and much more

– Get access to rich learning content, student community support, graded assignments, quizzes, feedback forums, and much more

 

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here

 

So, these were the 4 Best Network Analysis Courses, Classes, Tutorials, Training, and Certification Programs available online. Cheers to your success, Team Digital Defynd!