Graph Analytics for Big Data (Coursera)

Graph Analytics for Big Data (Coursera)

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Descripción de “Graph Analytics for Big Data (Coursera)”

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.

After completing this course, you will be able to model a problem into a graph database and perform analytical tasks over the graph in a scalable manner. Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects.

Course 5 of 6 in the Big Data Specialization.

Syllabus

WEEK 1

Welcome to Graph Analytics

Meet your instructor, Amarnath Gupta and learn about the course objectives.

WEEK 2

Introduction to Graphs

Welcome! This week we will get a first exposure to graphs and their use in everyday life. By the end of the module you will be able to create a graph applying core mathematical properties of graphs, and identify the kinds of analysis questions one might be able to ask of such a graph. We hope the you will be inspired as to how graphical representations might enable you to answer new Big Data problems!

Graded: Introduction to Graphs

Graded: Graphs in Everyday Life

WEEK 3

Graph Analytics

Graded: Graph Analytics Applications

Graded: Connectivity, Community, and Centrality Analytics

WEEK 4

Graph Analytics Techniques

Welcome to the 4th module in the Graph Analytics course. Last week, we got a glimpse of a number of graph properties and why they are important. This week we will use those properties for analyzing graphs using a free and powerful graph analytics tool called Neo4j. We will demonstrate how to use Cypher, the query language of Neo4j, to perform a wide range of analyses on a variety of graph networks.

Graded: Quiz: Graph Analytics With Neo4j

Graded: Assessment Questions on ‘Practicing Graph Analytics in Neo4j With Cypher’

WEEK 5

Computing Platforms for Graph Analytics

In the last two modules we have learned about graph analytics and graph data management. This week we will study how they come together. There are programming models and software frameworks created specifically for graph analytics. In this module we’ll give an introductory tour of these models and frameworks. We will learn to implement what you learned in Week 2 and build on it using GraphX and Giraph.

Graded: Using GraphX

Especificaciones: Graph Analytics for Big Data (Coursera)

Curso ofrecido por
Disponibilidad

✔ Disponible

Plataforma

Universidad

Impartido por

Amarnath Gupta

País

USA

Nivel, duración y fechas
Nivel

Principiante

Fecha

04/05/2020

Duración

4 semanas

Tiempo necesario

3-5 horas/semana

Idioma del curso
Idioma vehicular

Inglés

Subtítulos

Inglés

Exámenes y Certificados
Certificados

Certificado de Pago

Exámenes/Proyectos

Con Examen/Proyecto Final de pago

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Graph Analytics for Big Data (Coursera)
Graph Analytics for Big Data (Coursera)

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