Course details

Data Wrangling with Pandas: Advanced Features

Data Wrangling with Pandas: Advanced Features


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to perform advanced grouping, aggregations, and filtering operations on DataFrames. Working with masks and indexes, cleaning duplicated data, and assigning columns as categorical to perform operations is also covered.



Expected Duration (hours)
1.2

Lesson Objectives

Data Wrangling with Pandas: Advanced Features

  • perform grouping and aggregations on data
  • work with multiple, hierarchical indexes
  • specify grouping and aggregations with multiple indexes
  • perform general user-defined aggregations
  • extract subsets of data using filtering
  • identify kinds of masking operations
  • troubleshoot data with duplicates
  • identify how categorical data differs from continuous
  • perform filtering operations on categorical data
  • recognize default and custom indexes and reindex DataFrames
  • perform filtering operations, drop duplicate data, and work with categories
  • Course Number:
    it_dsdwppdj_03_enus

    Expertise Level
    Intermediate