Graph analytics and graph databases are one of the fastest-growing areas in data analytics and machine learning. Companies like Google, UberEats, Pinterest and Twitter, have leveraged graphs to transform their core products. As more enterprises embrace graphs, there is a huge demand for engineers and data scientists with graph analytics skills.
During this course, you will learn everything you need to know to build an application using Python graph algorithm libraries, visualization tools, and graph databases. You will start with basic graph concepts, work your way to graph algorithms, and finish the course by building a graph-based fraud detection application from scratch.
Here is the list of the basic requirements for the course:
🔹 Python 3.x - preferably 3.9
🔹 NetworkX and Matplotlib packages
🔹 A code editor - we recommend Visual Studio Code (VSC)
🔹 A GitHub account