online & regional CourseRapid Data Exploration with Pandas

Optimize the performance of code using the Pandas module.

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Course Details
Course Level
micro
Course Length
2-4 Hrs
Minimum Class Size
10 Students / Base
Course Platform
online & regional
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Course Overview

This workshop introduces the concept of vectorized computing, and how to create, manipulate and summarize single and multidimensional data using the Pandas module. We will also cover how to ingest common security data formats directly into vectorized data structures. Finally, we will cover basic statistical concepts.

Man Looking at course on screen

By the end of this module, you’ll be able to:

Create Series and Dataframe objects
Explore and summarize data within a Series or Dataframe
Understand and generate Tukey 5 number summaries, as well as calculate other common statistical measures
Import various security data directly into Dataframes
Join and merge data sets
Calculate aggregate statistics

The Fine Print

Course Size Requirements

The Base level includes 10 students. Level up to unlimited students for $1,000 more. Head count must be locked in at the time of contract.

US Travel / Incidental Cost

  • Virtual courses do not incur travel/incidental costs.

Course Format

  • GTK typically uses Google Meets for virtual courses, but can use any service with advanced notice.

The GTK Cyber course was well organized and flowed nicely, all of the topics were relevant.

Former Student

I found it informative and interesting.

Former Student

The Jupyter notebooks and answers were a big help.

Former Student

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