Capstone: Analyzing (Social) Network Data

  • 4.7
Approx. 18 hours to complete

Course Summary

This course is designed for intermediate programmers who want to enhance their skills and knowledge. Through hands-on projects, students will learn about advanced programming concepts, such as data structures and algorithms, and apply them to real-world problems.

Key Learning Points

  • Learn advanced programming concepts through hands-on projects
  • Apply programming skills to real-world problems
  • Enhance programming skills and knowledge

Related Topics for further study


Learning Outcomes

  • Apply advanced programming concepts to real-world problems
  • Design and implement efficient algorithms
  • Develop programming skills and knowledge

Prerequisites or good to have knowledge before taking this course

  • Basic programming knowledge in a language such as Python, Java or C++
  • Familiarity with data structures and algorithms

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Hands-on Projects

Similar Courses

  • Advanced Algorithms and Data Structures
  • Programming Languages, Part A

Notable People in This Field

  • Andrew Ng
  • John Resig
  • Barbara Ericson

Related Books

Description

In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks!

Outline

  • Introduction and Warm up
  • Welcome and Course Introduction
  • Capstone Project Exemplar
  • Project overview and timeline
  • 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
  • By the end of this capstone, you will be able to ...
  • Specialization Completion Rewards
  • Capstone Project Overview
  • Capstone Warmup Assignment: Where to get help
  • Warm-up Feedback
  • Project Definition and Scope
  • 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
  • Analyzing algorithms before implementing
  • Preparing to watch the "Project ideas" videos
  • Example Report: Scope and Problem Definition
  • End of Week Feedback
  • Capstone Implementation: Mini-project
  • Week 3 introduction
  • Overview of report
  • Sample Project Reports
  • End of Week Feedback
  • Capstone Implementation: Full project checkpoint
  • Week 4 introduction
  • Content Links to Prevous Courses
  • Capstone Implementation: Full project final deadline
  • Week 5 introduction
  • Peer review best practices
  • End of Week Feedback
  • Capstone oral report
  • Week 6 introduction
  • Demo presentation
  • End of Specialization message
  • End of Capstone Feedback
  • End of Specialization Feedback

Summary of User Reviews

Discover the Intermediate Programming Capstone course on Coursera. Read reviews from learners who have taken this course and get an idea of what they think about it. The overall rating is highly positive, with many users praising the practicality of the course.

Key Aspect Users Liked About This Course

Many users thought the course was practical and hands-on, allowing them to apply what they learned in real-world scenarios.

Pros from User Reviews

  • The course is well-structured and easy to follow
  • The instructors are knowledgeable and engaging
  • The assignments and projects are challenging but rewarding
  • The course provides valuable experience with programming languages and tools
  • The course is a great way to improve your programming skills and prepare for advanced courses

Cons from User Reviews

  • Some users found the course to be too basic or not challenging enough
  • The course requires a significant time commitment to complete
  • Some users experienced technical difficulties with the platform or assignments
  • The course may not be suitable for beginners with no prior programming experience
  • The course may not cover some advanced topics that more experienced programmers are looking for
English
Available now
Approx. 18 hours to complete
Christine Alvarado, Mia Minnes, Leo Porter
University of California San Diego
Coursera

Instructor

Christine Alvarado

  • 4.7 Raiting
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