University of California San Diego

Graph Analytics for Big Data

This course is part of Big Data Specialization

Taught in English

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Amarnath Gupta

Instructor: Amarnath Gupta

51,771 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(1,258 reviews)

|

89%

13 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

6 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(1,258 reviews)

|

89%

13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

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

What's included

1 video

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!

What's included

8 videos2 readings1 quiz1 peer review2 discussion prompts

What's included

17 videos3 readings2 quizzes2 discussion prompts

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.

What's included

10 videos12 readings2 quizzes

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.

What's included

11 videos7 readings1 quiz

Instructor

Instructor ratings
4.4 (70 ratings)
Amarnath Gupta
University of California San Diego
10 Courses458,243 learners

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Recommended if you're interested in Data Analysis

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4.3

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