When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Capstone: Analyzing (Social) Network Data

4 days left! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Capstone: Analyzing (Social) Network Data

This course is part of Object Oriented Java Programming: Data Structures and Beyond Specialization

Instructors: Christine Alvarado

6,541 already enrolled

Included with

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

101 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

101 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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

There are 6 modules in this course

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.

Module details

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

8 videosTotal 43 minutes

Welcome and Course Introduction2 minutes
Capstone Project Exemplar11 minutes
Project overview and timeline2 minutes
Introduction to (some) social network data7 minutes
Representing social network data as a graph3 minutes
Warm up algorithm 1: Extracting egonets3 minutes
Warm up algorithm 2: Strongly Connected Components5 minutes
Warm up algorithm 2: Strongly connected components, part 211 minutes

4 readingsTotal 40 minutes

By the end of this capstone, you will be able to ...10 minutes
Specialization Completion Rewards10 minutes
Capstone Project Overview10 minutes
Capstone Warmup Assignment: Where to get help10 minutes

1 assignmentTotal 30 minutes

Warm-up Feedback30 minutes

1 programming assignmentTotal 240 minutes

Capstone warm up240 minutes

1 discussion promptTotal 10 minutes

What questions do you have about the project?10 minutes

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

6 videosTotal 50 minutes

Week 2 introduction2 minutes
Project idea: information flow in a social network12 minutes
Project idea: broadcasting to a Twitter network, part 16 minutes
Project idea: broadcasting to a Twitter network, part 26 minutes
Project idea: detecting communities12 minutes
Analyzing algorithms before implementing12 minutes

2 readingsTotal 20 minutes

Preparing to watch the "Project ideas" videos10 minutes
Example Report: Scope and Problem Definition10 minutes

1 assignmentTotal 5 minutes

End of Week Feedback5 minutes

1 peer reviewTotal 120 minutes

Scope and Problem Definition120 minutes

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(5 ratings)

Christine Alvarado

University of California San Diego

5 Courses408,696 learners

Mia Minnes

University of California San Diego

5 Courses408,696 learners

Leo Porter

University of California San Diego

5 Courses408,696 learners

Offered by

University of California San Diego

Learner reviews

5 stars
78.43%
4 stars
14.70%
3 stars
3.92%
2 stars
0%
1 star
2.94%

Showing 3 of 101

Reviewed on Apr 9, 2017

This was a nice closure to the specialization, but a little too complicated to the point where there were almost no students around to get feedback from or give to.

Reviewed on Jul 4, 2017

Cannot express how grateful i am to this course series. Will recommend to anyone who has needs!

Reviewed on Jun 15, 2016

I think this is a great specialization to learn more about Java programming and associated technologies such as the Eclipse IDE and Unit Testing.

View more reviews