University of California San Diego
Capstone: Analyzing (Social) Network Data
University of California San Diego

Capstone: Analyzing (Social) Network Data

Christine Alvarado
Mia Minnes
Leo Porter

Instructors: Christine Alvarado

6,412 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(99 reviews)

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(99 reviews)

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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

Placeholder

Build your subject-matter expertise

This course is part of the Object Oriented Java Programming: Data Structures and Beyond 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
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

Welcome to our capstone project! In the last four courses in this specialization you've learned many core data structures and algorithms, and applied them to three different real-world projects. In this capstone project you'll be doing a project very much like the projects from these other courses, only it will be almost entirely directed by you! In this first week you'll get warmed up by playing around with the data that will form the backbone of this project: social network data. Then you'll get back into writing code by implementing a couple of graph algorithms to answer questions about this data.

What's included

8 videos4 readings1 assignment1 programming assignment1 discussion prompt

Now that you're warmed up, it's time to get started planning for the bulk of your capstone project. This week you will identify several questions you'd like to answer about the social network data. For each of these questions, you'll research and evaluate data structures and algorithms that would be useful in implementing a solution. Defining the scope of your project and anticipating bottlenecks and tricky spots is tough but extremely valuable. You'll use asymptotic analysis to guide and refine your design.

What's included

6 videos2 readings1 assignment1 peer review

Now that you've identified the two problems you want to solve, this week you'll work to solve the easier of the two. This week you are predominately on your own to work independently. To solve the problem, you'll likely create small datasets for testing, research existing solutions to related problems, implement a solution, test your solution, and analyze the algorithmic runtime of the solution. You can optionally write-up a report of your work for peer-review feedback.

What's included

2 videos1 reading1 assignment1 peer review

This week, you will work on your own on the larger problem you aim to solve. You'll have two weeks (this and the next) to solve the larger problem and submit a report for peer feedback. For this week, you should aim to create small test datasets, research exist solutions, and analyze the runtime of your potential solutions. You should also research datasets which might be particularly interesting for your problem.

What's included

1 video1 reading1 peer review

Now you get to finalize your project! This week, you will finish your solution to the larger problem and submit a report for peer feedback. This is also an opportunity for reflection about what went well and what went poorly in the process of completing the project. It is also an opportunity to reflect on how far your technical skills have advanced since the beginning of this specialization.

What's included

2 videos1 assignment1 peer review

In this week, you get to present your project to the learner community! This will combine all the skills you've learned in the specialization: algorithm analysis, object oriented programming, design and use of data structures, and presenting your work with confidence. We look forward to seeing what you've created!

What's included

3 videos2 assignments1 peer review

Instructors

Instructor ratings
5.0 (5 ratings)
Christine Alvarado
University of California San Diego
5 Courses390,597 learners
Mia Minnes
University of California San Diego
5 Courses390,597 learners
Leo Porter
University of California San Diego
5 Courses390,597 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 99

4.7

99 reviews

  • 5 stars

    79%

  • 4 stars

    15%

  • 3 stars

    4%

  • 2 stars

    0%

  • 1 star

    2%

SS
5

Reviewed on Apr 6, 2016

NG
5

Reviewed on Jul 27, 2019

LS
4

Reviewed on Apr 9, 2017

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions