Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore different ways to iterate over and sort Pandas DataFrames. Discover how to handle missing data and perform grouping operations, as well as how to combine data from different DataFrames using join and concatenate operations



Expected Duration (hours)
0.8

Lesson Objectives

Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames

  • learn how to iterate over a DataFrame's rows and columns
  • export the contents of a DataFrame into files of various formats
  • describe and apply the different techniques involved in handling datasets where some information is missing
  • describe and apply the different techniques involved in handling datasets where some information is missing
  • implement a hierarchical index and access the DataFrame's contents based on that index
  • combine two similar DataFrames using the concat operation
  • apply a join operation on two related but dissimilar DataFrames using the merge function
  • load data into a Pandas DataFrame from a table in a relational database
  • use Pandas for advanced tabular data manipulation
  • Course Number:
    it_dspydsdj_04_enus

    Expertise Level
    Beginner