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Download Pluralsight – DataFrames with Pandas

Description

DataFrames with Pandas course. This course teaches advanced topics of this library to perform data analysis professionally. This course focuses on managing DataFrames, analyzing data, and using advanced Pandas features. Participants will first be introduced to the basic features of DataFrames, then learn how to restructure, sort, and rotate data. Next, they will learn how to store and retrieve data using Serialization. By the end of the course, learners will be able to work with complex data, perform advanced analysis, and use Pandas effectively. This course is designed for those who want to improve their skills in data processing and analysis.

What you will learn:

  • Understanding and using DataFrame Attributes
  • Reshaping DataFrames to change the structure of data
  • Sorting DataFrames based on different criteria
  • Transposing DataFrames to change rows and columns
  • Introduction to the concept of Serialization in DataFrames
  • Ability to analyze data using Pandas at an advanced level
  • Manage complex DataFrames effectively
  • Gain in-depth knowledge of advanced parts of the Pandas library

Who is this course suitable for?

  • People who have basic knowledge of Pandas and DataFrames and want to improve their skills.
  • Data Scientists and Data Analysts looking to master the advanced capabilities of Pandas.
  • Python developers who work with data and want to perform more efficient data analysis.
  • Anyone who wants to gain a deeper understanding of DataFrames and how to use them to analyze data with Pandas.

DataFrames with Pandas course details

  • Publisher: Pluralsight
  • Instructor: Dhiraj Kumar
  • Training level: Beginner
  • Training duration: 1 hour and 5 minutes

Course topics

https://softarchive.is/blogs/bonnytuts/dataframes_with_pandas.4626269.html

Course images

https://softarchive.is/blogs/bonnytuts/dataframes_with_pandas.4626269.html

Sample course video

Video display

00:00
01:27

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Download file – 91 MB

 

File size

91 MB

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