Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.
About this Course
Skills you will gain
University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars55.71%
- 4 stars26.62%
- 3 stars11.25%
- 2 stars3.61%
- 1 star2.79%
TOP REVIEWS FROM GRAPH ANALYTICS FOR BIG DATA
Very good material, very good Neo4j hands on for new comers. The critique goes to the coverage of GraphX hands on which, at least to me, is not explained clear enough
Graphs are quite interesting and in many cases offer a better representation than relational databases. One can gain lots of insights looking at graphs.
Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.
The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.
About the Big Data Specialization
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.