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Data Analysis with Pandas and Python

Data Analysis with Pandas and Python

Free Practice Test

FREE
  • TypeExam Format
  • No. of Questions10
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice

Practice Exam

$9.99
  • TypeExam Format
  • No. of Questions160
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam

Online Course

$12.99
  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No. of Videos173
  • No. of hours18+ hrs

Data Analysis with Pandas and Python

Pandas give stretched-out data structures to hold various types of named and social data. This makes python exceptionally adaptable and amazingly useful for data cleaning and control. Pandas is exceptionally adaptable and provides functions for performing operations like blending, reshaping, joining, and connecting data.


Table of Contents

  • Installation and Setup
  • Series
  • DataFrames I
  • DataFrames II
  • DataFrames III
  • Working with Text Data
  • MultiIndex
  • GroupBy
  • Merging, Joining, and Concatenating
  • Working with Dates and Times
  • Panels
  • Input and Output
  • Visualization
  • Options and Settings
  • Conclusion

Exam Format and Information


Data Analysis with Pandas and Python FAQs

In spite of the fact that there are numerous reasons, high on the list are the enormous volume of work, tight deadlines, and work requests from different sources and the executive's levels.

As of 2021, it is positioned as the world's second most famous programming language among professional software developers as well as the first most needed programming language.

Pandas is a fast, strong, adaptable, and easy-to-use open-source data analysis and control instrument, based on top of the Python programming language.

 

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