23  Data Analysis with Python

23.1 Template

Data science projects have a lifecycle that includes data collection, data cleaning, data analysis, and data visualization. You don’t need to start from scratch. You can use a template to organize your project.

23.2 Data Analysis with Python Pandas

  • Installation
  • Basic data structures
    • DataFrame
    • Series
  • Object creation
  • Viewing data
  • Selection
    • Selection by label
    • Selection by position
    • Boolean indexing
    • Setting
  • Missing data
  • Operations
    • Stats
    • User defined functions
    • Value counts
    • String methods
  • Merge
    • Concat
    • Join
  • Grouping
  • Reshaping
    • Stack
    • Pivot tables
  • Time series
  • Categoricals
  • Plotting
  • Importing and exporting data
    • CSV
    • Excel

23.3 Data Vizualization