This video provides an introduction to network analysis.
- [Instructor] Want to strategize ways…to increase your return on investment…and social media marketing efforts?…There's a graph for that.…No, but seriously.…You can use network analysis to accomplish that objective,…along with countless others,…including infrastructure system design,…financial risk management, and public health management.…Being able to model and evaluate network dynamics…is an important and powerful data science skill,…and I'd be remiss if I did not at least introduce the topic.…Let me start by first distinguishing the different between…the term network and graph.…
A network is a body of connected data…that's evaluated during graph analysis.…Whereas a graph is the actually data visualization schematic…that depicts the network data.…Before getting into the coding demonstration,…let me give some important vocabulary for network analysis.…Nodes are vertices around which the graph is formed…and edges are the lines that connect them.…A directed graph, also known as a digraph,…is a graph where there is a direction assigned…
AuthorLillian Pierson, P.E.
- Getting started with Jupyter Notebooks
- Visualizing data: basic charts, time series, and statistical plots
- Preparing for analysis: treating missing values and data transformation
- Data analysis basics: arithmetic, summary statistics, and correlation analysis
- Outlier analysis: univariate, multivariate, and linear projection methods
- Introduction to machine learning
- Basic machine learning methods: linear and logistic regression, Naïve Bayes
- Reducing dataset dimensionality with PCA
- Clustering and classification: k-means, hierarchical, and k-NN
- Simulating a social network with NetworkX
- Creating Plot.ly charts
- Scraping the web with Beautiful Soup
Skill Level Beginner
1. Data Munging Basics
2. Data Visualization Basics
3. Basic Math and Statistics
4. Dimensionality Reduction
Explanatory factor analysis6m 39s
5. Outlier Analysis
6. Cluster Analysis
7. Network Analysis with NetworkX
8. Basic Algorithmic Learning
9. Web-based Data Visualizations with Plotly
10. Web Scraping with Beautiful Soup
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