Small world
Measure shortest paths in a real social network and check the small-world effect.
All pathsDiscover Coursera PlusAfter step 2 After step 3 After step 5
Data & AI · 43Intermediate
Network Scientist
Learners who study social, biological or technical networks.
Graphs and combinatorics, network algorithms, computational social science, network analysis in Python and systems biology.
502hours of coursework
51weeks at 10 h
5steps
27courses
5universities
Target skills
Python ProgrammingNetwork AnalysisGraph TheoryMathematical ModelingProgramming PrinciplesCombinatoricsProbabilityProgram DevelopmentAlgorithmsData AnalysisSocial Media AnalyticsData Science
Skill labels as listed on Coursera.
Target jobs
- Network science researcher
- Network data scientist
- Digital epidemiology analyst
Progression
- 1University of California San DiegoBeginnerPython
Stated prerequisites: Basic math (fractions, squares), basic Python (functions, loops, recursion)
Show the 5 courses
Course Level Length Rating (reviews) Mathematical Thinking in Computer Science Beginner 42 h 4.4 (2,289) Combinatorics and Probability Beginner 23 h 4.6 (874) Introduction to Graph Theory Beginner 21 h 4.5 (1,073) Number Theory and Cryptography Beginner 17 h 4.5 (610) Delivery Problem Beginner 13 h 4.7 (376) - 2Rice UniversityBeginnerPython
Stated prerequisites: High school mathematics; no programming required
Show the 7 courses
Course Level Length Rating (reviews) An Introduction to Interactive Programming in Python (Part 1) — 19 h 4.8 (3,322) An Introduction to Interactive Programming in Python (Part 2) Beginner 16 h 4.9 (1,214) Principles of Computing (Part 1) Intermediate 19 h 4.7 (584) Principles of Computing (Part 2) Intermediate 16 h 4.8 (365) Algorithmic Thinking (Part 1) Intermediate 14 h 4.6 (385) Algorithmic Thinking (Part 2) Intermediate 13 h 4.7 (220) The Fundamentals of Computing Capstone Exam Intermediate 1 h 4.8 (116) - 3University of California, DavisBeginnerIBM Watson
Stated prerequisites: No prior experience required
Show the 5 courses
Course Level Length Rating (reviews) Computational Social Science Methods Beginner 11 h 4.7 (357) Big Data, Artificial Intelligence, and Ethics Beginner 9 h 4.6 (784) Social Network Analysis Beginner 10 h 4.7 (248) Computer Simulations Beginner 13 h 4.5 (87) Computational Social Science Capstone Project Intermediate 14 h 4.7 (44) - 4University of MichiganAdvancedPython, scikit-learn, NetworkX, ChatGPT
Stated prerequisites: Intermediate Python programming skills
Show the 4 courses
Course Level Length Rating (reviews) Data Mining in Python Advanced 54 h 4.6 (14) Applied Unsupervised Learning in Python Advanced 30 h — Network Modeling and Analysis in Python Advanced 30 h — Applied Information Extraction in Python Advanced 25 h — - 5Icahn School of Medicine at Mount SinaiIntermediateR, MATLAB
Stated prerequisites: College-level cell and molecular biology, basic statistics and calculus
Show the 6 courses
Course Level Length Rating (reviews) Introduction to Systems Biology — 19 h 4.3 (577) Experimental Methods in Systems Biology — 18 h 4.5 (317) Network Analysis in Systems Biology Intermediate 30 h 4.5 (204) Dynamical Modeling Methods for Systems Biology — 19 h 4.7 (223) Integrated Analysis in Systems Biology — 4 h 4.6 (87) Systems Biology and Biotechnology Capstone — 2 h 4.5 (13)
With Coursera Plus
This path takes 502 hours, about 12 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Projects to build
Rumour spreading
Simulate information spreading on a network and find the most influential nodes.
Biological communities
Detect functional modules in a protein interaction network.
Free textbooks
Mathematics for Computer ScienceE. Lehman, F. T. Leighton, A. R. Meyer (MIT)Free, CC BY-SA
AlgorithmsJeff EricksonFree, CC BY 4.0
Python for Data Analysis, 3rd ed.Wes McKinneyOpen access online
Biology 2eOpenStaxFree, CC BY 4.0