- Lesson #01
- Course Outline
- Lesson #02
- Guided project
- Evaluating social distance using Google Mobility Report
- Lesson #03
- Combination Data with Pandas
- Concat
- Merge
- Transforming Data with Pandas
- Map, Apply, ApplyMap
- Melt
- Bonus: animated plot using plotly
- Combination Data with Pandas
- Lesson #04
- Data cleaning
- Working with string in pandas
- Exploring vectorized string methods
- Lesson #05
- Data cleaning advanced
- Regular expression
- Lesson #06
- Matplotlib Vs. Plotly
- Plotly Library Graphics
- Histogram
- Line
- Bar
- Box
- Violin
- Scatter and Marginal Plot
- Coordinate and Categories Parallel
- Dash app
- Lesson #07
- Fundamentals of Complex Network Analysis
- Introduction to NetworkX
- CNA DataViz
- 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
- 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
ivanovitchm/datascience2020.6
Repository for IMD0905 2020.6, an undergraduate course about Data Science
Jupyter Notebook