Students who complete this course will learn how to:
- Visualize networks of connections among entities or people
- Measure attributes of networks
- Measure attributes of users and ties among them
- Sample from networks that would be too large for analysis taken as a whole
- Generate and study hypotheses about networks
- Analyze propagation of things through networks
Who Should Take This Course
Marketing and IT managers, people who work in organizations with social media presences that they want to manage and analyze, and also people in organizations that have, or plan to have, their own social networks, who want to better understand the details of the environment they create.
Network Analysis Basics
- Basic Terminology
The Social Network
- Tie strength
- Trust – User attributes and behavior
- Content Analysis
- Filtering and recommender systems
- Business use
There are no prerequisites and no particular background is required. Computer scientists or those with humanities backgrounds will be equally capable of doing the work.
The Statistics.com courses have helped me a lot, pushing me to the limit and making me learn much more than I expected I could. The knowledge I gained I could immediately leverage in my job … then eventually led to landing a job in my dream company – Amazon.
This program has been a life and work game changer for me. Within 2 weeks of taking this class, I was able to produce far more than I ever had before.
The material covered in the Analytics for Data Science Certificate will be indispensable in my work. I can’t wait to take other courses. Great work!
I learned more in the past 6 weeks than I did taking a full semester of statistics in college, and 10 weeks of statistics in graduate school. Seriously.
This is the best online course I have ever taken. Very well prepared. Covers a lot of real-life problems. Good job, thank you very much!
The more courses I take at Statistics.com, the more appreciation I have for the smart approach, quality of instructors, assistants, admin and program. Well done!
This course greatly benefited me because I am interested in working in AI. It has given me solid foundational knowledge…After completing this last course, I feel I have gained valuable skills that will enhance my employability in Data Science, opening up diverse career opportunities.
Frequently Asked Questions
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In addition to assigned readings, this course also has supplemental video lectures and supplemental readings available online.
The required text for this course is Analyzing the Social Web by Jennifer Golbeck.
Options for Credit and Recognition
ACE CREDIT | College Credit
This course has been evaluated by the American Council on Education (ACE) and is recommended for the upper-division baccalaureate degree, 3 semester hours in computer science or network analysis. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.
Literacy, Accessibility, and Dyslexia
At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:
- Color Enhancer (for colorblindness)
- HelperBird (for colorblindness, dyslexia, and reading difficulties)
- Mobile Dyslexic
- Color Vision Simulation (native accessibility feature)
- Other native accessibility features instructions