Monthly Subscription Starting at AED 99 + VAT

Capstone: Analyzing (Social) Network Data
  • Level Foundation
  • المدة 18 ساعات hours
  • الطبع بواسطة University of California San Diego
  • Offered by

عن

In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! The opportunities for learning are practically endless in a social network. Who are the “influential” members of the network? What are the sub-communities in the network? Who is connected to whom, and by how many links? These are just some of the questions you can explore in this project. We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project. If you’re running short on ideas, we’ll have several suggested directions that can help get your creativity and imagination going. Finally, to integrate the skills you acquired in course 4 (and to show off your project!) you will be asked to create a video showcase of your final product.

الوحدات

Introduction

    • 3 Videos
    • 3 Readings
Show info about module content

3 Videos

  • Welcome and Course Introduction
  • Capstone Project Exemplar
  • Project overview and timeline

3 Readings

  • By the end of this capstone, you will be able to ...
  • Specialization Completion Rewards
  • Capstone Project Overview

Warming up with social network data

    • 5 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Programming
    • 1 Assignment
Show info about module content

1 Programming

  • Capstone warm up

1 Assignment

  • Warm-up Feedback

1 Discussions

  • What questions do you have about the project?

5 Videos

  • Introduction to (some) social network data
  • Representing social network data as a graph
  • Warm up algorithm 1: Extracting egonets
  • Warm up algorithm 2: Strongly Connected Components
  • Warm up algorithm 2: Strongly connected components, part 2

1 Readings

  • Capstone Warmup Assignment: Where to get help

Background algortihms

    • 5 Videos
    • 1 Readings
Show info about module content

5 Videos

  • Week 2 introduction
  • Project idea: information flow in a social network
  • Project idea: broadcasting to a Twitter network, part 1
  • Project idea: broadcasting to a Twitter network, part 2
  • Project idea: detecting communities

1 Readings

  • Preparing to watch the "Project ideas" videos

Analyzing algorithms (before you implement them)

    • 1 Videos
Show info about module content

1 Videos

  • Analyzing algorithms before implementing

Capstone progress: Defining the scope of your project

    • 1 Readings
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • End of Week Feedback

1 Peer Review

  • Scope and Problem Definition

1 Readings

  • Example Report: Scope and Problem Definition

Capstone Mini-project Submission

    • 2 Videos
    • 1 Readings
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • End of Week Feedback

1 Peer Review

  • Optional mini-project report

2 Videos

  • Week 3 introduction
  • Overview of report

1 Readings

  • Sample Project Reports

Capstone: Full project checkpoint

    • 1 Videos
    • 1 Readings
    • 1 PeerReview
Show info about module content

1 Peer Review

  • Optional progress report

1 Videos

  • Week 4 introduction

1 Readings

  • Content Links to Prevous Courses

Capstone: Full project report

    • 2 Videos
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • End of Week Feedback

1 Peer Review

  • Capstone Project Written Report and Code

2 Videos

  • Week 5 introduction
  • Peer review best practices

Capstone: Oral report

    • 3 Videos
    • 1 PeerReview
    • 2 Assignment
Show info about module content

2 Assignment

  • End of Capstone Feedback
  • End of Specialization Feedback

1 Peer Review

  • Capstone Oral Report

3 Videos

  • Week 6 introduction
  • Demo presentation
  • End of Specialization message

Auto Summary

"Capstone: Analyzing (Social) Network Data" is an exciting course in the Data Science & AI domain, designed to bring together all the skills you've learned across four specialization courses. Under the guidance of Coursera, this hands-on project immerses you in the fascinating world of social network analysis. You'll delve into real-world data to uncover insights about network influencers, sub-communities, and connections. The course provides initial infrastructure and tasks to get you started, but the direction you take is up to your creativity and curiosity. If you need inspiration, suggested project paths are available to spark your imagination. This foundational-level course spans approximately 1080 minutes, offering both Starter and Professional subscription options to suit your learning needs. Ideal for learners eager to apply their data science skills in a practical, engaging project, this capstone also includes a unique opportunity to showcase your final product through a video presentation. Join now to explore the endless learning opportunities within social networks!

Christine Alvarado
Instructors

Christine Alvarado

Mia Minnes
Instructors

Mia Minnes

Leo Porter
Instructors

Leo Porter