• Online, Self-Paced

Pandas is a Python software library used for data science and big data that is used for data manipulation and analysis. In this Skillsoft Aspire course, you will 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.

Learning Objectives

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

  • Course Overview
  • 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

 

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Software Development

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.