In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks!
Capstone: Analyzing (Social) Network Data
Capstone: Analyzing (Social) Network Data
This course is part of Object Oriented Java Programming: Data Structures and Beyond Specialization
Instructors: Christine Alvarado
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4.7
(99 reviews)
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
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Assessments
6 assignments
Taught in English
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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.
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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)Offered by
Recommended if you're interested in Data Analysis
SkillUp EdTech
University of Colorado Boulder
University of Toronto
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Showing 3 of 99
LS
4
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.
SS
5
Reviewed on Apr 6, 2016
I really like the fact that we get to decide the capstone and we get to showcase our project.
NG
5
Reviewed on Jul 27, 2019
Thank you so much for having this on Coursera. I enjoyed the entire process, and I am very thankful for the course instructors. Great supplementation to my degree.
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