In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks!
Este curso forma parte de Programa Especializado - Object Oriented Java Programming: Data Structures and Beyond
Capstone: Analyzing (Social) Network Data
ofrecido por
Programa Especializado - Object Oriented Java Programming: Data Structures and BeyondUniversidad de California en San Diego
Acerca de este Curso
4,178 vistas recientes
Resultados profesionales del estudiante
44%
comenzó una nueva carrera después de completar estos cursos
60%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
25%
consiguió un aumento de sueldo o ascenso
Resultados profesionales del estudiante
44%
comenzó una nueva carrera después de completar estos cursos
60%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
25%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 19 horas para completar
Sugerido: 6 weeks of study, 3-5 hours/week
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de California en San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programa - Qué aprenderás en este curso
6 horas para completar
Introduction and Warm up
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.
6 horas para completar
8 videos (Total 43 minutos), 4 lecturas, 2 cuestionarios
8 videos
Capstone Project Exemplar10m
Project overview and timeline2m
Introduction to (some) social network data7m
Representing social network data as a graph2m
Warm up algorithm 1: Extracting egonets3m
Warm up algorithm 2: Strongly Connected Components5m
Warm up algorithm 2: Strongly connected components, part 210m
4 lecturas
By the end of this capstone, you will be able to ...10m
Specialization Completion Rewards10m
Capstone Project Overview10m
Capstone Warmup Assignment: Where to get help10m
1 ejercicio de práctica
Warm-up Feedback4m
3 horas para completar
Project Definition and Scope
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.
3 horas para completar
6 videos (Total 50 minutos), 2 lecturas, 2 cuestionarios
6 videos
Project idea: information flow in a social network12m
Project idea: broadcasting to a Twitter network, part 16m
Project idea: broadcasting to a Twitter network, part 26m
Project idea: detecting communities11m
Analyzing algorithms before implementing11m
2 lecturas
Preparing to watch the "Project ideas" videos10m
Example Report: Scope and Problem Definition10m
1 ejercicio de práctica
End of Week Feedback5m
3 horas para completar
Capstone Implementation: Mini-project
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.
3 horas para completar
2 videos (Total 12 minutos), 1 lectura, 2 cuestionarios
1 lectura
Sample Project Reports20m
1 ejercicio de práctica
End of Week Feedback5m
2 horas para completar
Capstone Implementation: Full project checkpoint
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.
2 horas para completar
1 video (Total 3 minutos), 1 lectura, 1 cuestionario
1 video
1 lectura
Content Links to Prevous Courses20m
Revisiones
Principales revisiones sobre CAPSTONE: ANALYZING (SOCIAL) NETWORK DATA
por NGJul 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.
por SPJun 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.
por CRJul 4, 2017
Cannot express how grateful i am to this course series. Will recommend to anyone who has needs!
por SSApr 6, 2016
I really like the fact that we get to decide the capstone and we get to showcase our project.
por AKApr 3, 2017
The best couse content I had. Very thoughtful and professionally developed.
por WAJan 17, 2017
Great presentation of data structures.\n\nGood Capstone.
por LAJan 13, 2017
great content and good course for an IT technician !
por ASMay 24, 2017
It was a challenge for me and really useful project!
Acerca de Programa especializado Object Oriented Java Programming: Data Structures and Beyond
This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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