/datascience2020.6

Repository for IMD0905 2020.6, an undergraduate course about Data Science

Primary LanguageJupyter Notebook

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