datascience2020.6

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datascience2020.6

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Repository for IMD0905 2020.6, an undergraduate course about Data Science

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# Universidade Federal do Rio Grande do Norte
## Instituto Metrópole Digital
### Data Science I 2020.6

1. Lesson #01
	- Course Outline
2. Lesson #02
	- Guided project
	- Evaluating social distance using Google Mobility Report
3. Lesson #03
	- Combination Data with Pandas
		- Concat
		- Merge
	- Transforming Data with Pandas
		- Map, Apply, ApplyMap
		- Melt
		- Bonus: animated plot using plotly
4. Lesson #04
	- Data cleaning
	- Working with string in pandas
	- Exploring vectorized string methods
5. Lesson #05
	- Data cleaning advanced
	- Regular expression
6. Lesson #06
	- Matplotlib Vs. Plotly
	- Plotly Library Graphics
		- Histogram
		- Line
		- Bar
		- Box
		- Violin
		- Scatter and Marginal Plot
		- Coordinate and Categories Parallel
	- Dash app
7. Lesson #07 
	- Fundamentals of Complex Network Analysis
	- Introduction to NetworkX
	- CNA DataViz
8. Lesson #08 
	- Network visualization using Gephi
	- Combine NetworkX & Gephi
	- Case study I: network of nutrients and food types
	- Case study II: network of Wikipedia Pages
9. Lesson #09
	- Create Networks from Adjacency and Incidence Matrices
	- Generate Synthetic Networks
	- Measuring Networks
		- Global measures
		- Explore neighborhood
		- Think in terms of paths
		- Choose the right centralities

datascience2020.6

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